Triple
T18205038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LayoutLM |
E435880
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object |
Ming Zhou
Ming Zhou is a computer scientist and researcher known for his contributions to natural language processing and document understanding models.
|
E1330423
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ming Zhou | Statement: [LayoutLM, hasAuthor, Ming Zhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ming Zhou Context triple: [LayoutLM, hasAuthor, Ming Zhou]
-
A.
Tinghui Zhou
Tinghui Zhou is a computer vision and machine learning researcher known for influential work on unsupervised learning and image-to-image translation.
-
B.
Mingda Chen
Mingda Chen is a researcher in natural language processing known for work on large-scale language models and representation learning, including contributions to the ALBERT model.
-
C.
Yanqi Zhou
Yanqi Zhou is a computer scientist and researcher known for her work in natural language processing and for helping develop the T5 text-to-text transformer model at Google.
-
D.
Jin Wang
Jin Wang is the Chinese American teenage protagonist of Gene Luen Yang’s graphic novel "American Born Chinese," whose story explores identity, assimilation, and cultural conflict.
-
E.
Menglong Zhu
Menglong Zhu is a computer vision and deep learning researcher known for co-developing the efficient convolutional neural network architecture MobileNetV2.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ming Zhou Triple: [LayoutLM, hasAuthor, Ming Zhou]
Generated description
Ming Zhou is a computer scientist and researcher known for his contributions to natural language processing and document understanding models.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ming Zhou Target entity description: Ming Zhou is a computer scientist and researcher known for his contributions to natural language processing and document understanding models.
-
A.
Tinghui Zhou
Tinghui Zhou is a computer vision and machine learning researcher known for influential work on unsupervised learning and image-to-image translation.
-
B.
Mingda Chen
Mingda Chen is a researcher in natural language processing known for work on large-scale language models and representation learning, including contributions to the ALBERT model.
-
C.
Yanqi Zhou
Yanqi Zhou is a computer scientist and researcher known for her work in natural language processing and for helping develop the T5 text-to-text transformer model at Google.
-
D.
Jin Wang
Jin Wang is the Chinese American teenage protagonist of Gene Luen Yang’s graphic novel "American Born Chinese," whose story explores identity, assimilation, and cultural conflict.
-
E.
Menglong Zhu
Menglong Zhu is a computer vision and deep learning researcher known for co-developing the efficient convolutional neural network architecture MobileNetV2.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e222831081908f7d5500424e3acb |
completed | April 19, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ac02eac81909914527278a1bfb5 |
completed | May 13, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_6a049c93bbb0819098ddf5765033cfae |
completed | May 13, 2026, 3:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049e92ff388190a15dff920bc2182d |
completed | May 13, 2026, 3:53 p.m. |
Created at: April 10, 2026, 10:32 a.m.