Triple
T848975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GPT-2 |
E18339
|
entity |
| Predicate | paperAuthors |
P2002
|
FINISHED |
| Object |
Rewon Child
Rewon Child is a machine learning researcher known for co-authoring the influential GPT-2 language model paper at OpenAI.
|
E99317
|
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: Rewon Child | Statement: [GPT-2, paperAuthors, Rewon Child]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rewon Child Context triple: [GPT-2, paperAuthors, Rewon Child]
-
A.
Jin
Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
-
B.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
-
C.
Samil Undong
Samil Undong is the Korean name for the March 1st Movement, a major 1919 nationwide protest against Japanese colonial rule in Korea.
-
D.
Kadan
Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
-
E.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
- 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: Rewon Child Triple: [GPT-2, paperAuthors, Rewon Child]
Generated description
Rewon Child is a machine learning researcher known for co-authoring the influential GPT-2 language model paper at OpenAI.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rewon Child Target entity description: Rewon Child is a machine learning researcher known for co-authoring the influential GPT-2 language model paper at OpenAI.
-
A.
Jin
Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
-
B.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
-
C.
Samil Undong
Samil Undong is the Korean name for the March 1st Movement, a major 1919 nationwide protest against Japanese colonial rule in Korea.
-
D.
Kadan
Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
-
E.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2b66c908190a52f731119b77a1e |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a792a0666c8190bfc9166d45b4e867 |
completed | March 4, 2026, 2:02 a.m. |
| NEDg | Description generation | batch_69a793563cc881909381f898f240c0bd |
completed | March 4, 2026, 2:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7941add588190913198a7f7b20943 |
completed | March 4, 2026, 2:08 a.m. |
Created at: March 1, 2026, 7:38 p.m.