Triple
T10344871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathaniel Chambers |
E243718
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object |
Steven Bethard
Steven Bethard is a computer scientist and natural language processing researcher known for his work on temporal information extraction, semantic role labeling, and clinical NLP.
|
E857264
|
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: Steven Bethard | Statement: [Nathaniel Chambers, coAuthorWith, Steven Bethard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Bethard Context triple: [Nathaniel Chambers, coAuthorWith, Steven Bethard]
-
A.
Kent McCord
Kent McCord is an American actor best known for his role as Officer Jim Reed on the television series "Adam-12."
-
B.
Ben Donich
Ben Donich is a mountain in the Arrochar Alps of the Scottish Highlands, popular with hikers for its accessible ascent and panoramic views.
-
C.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
-
D.
Matthew Shafer
Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
-
E.
Matthew Shafer
Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
- 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: Steven Bethard Triple: [Nathaniel Chambers, coAuthorWith, Steven Bethard]
Generated description
Steven Bethard is a computer scientist and natural language processing researcher known for his work on temporal information extraction, semantic role labeling, and clinical NLP.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steven Bethard Target entity description: Steven Bethard is a computer scientist and natural language processing researcher known for his work on temporal information extraction, semantic role labeling, and clinical NLP.
-
A.
Kent McCord
Kent McCord is an American actor best known for his role as Officer Jim Reed on the television series "Adam-12."
-
B.
Ben Donich
Ben Donich is a mountain in the Arrochar Alps of the Scottish Highlands, popular with hikers for its accessible ascent and panoramic views.
-
C.
Matthew C. Brown
Matthew C. Brown is a film producer known for his work on the horror movie "Spectral."
-
D.
Matthew Shafer
Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
-
E.
Matthew Shafer
Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9228cd88190bcd94b85537233c1 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7507f708c8190b8cf684704a6e47d |
completed | April 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69d751ab890c8190b1549619049dab91 |
completed | April 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7619e97588190a1443f9438c6efc0 |
completed | April 9, 2026, 8:21 a.m. |
Created at: April 6, 2026, 11:56 a.m.