Triple
T4651224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GPT-3 |
E102297
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object | Tom B. Brown |
E471343
|
NE FINISHED |
How this triple was built (2 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: Tom B. Brown | Statement: [GPT-3, hasAuthor, Tom B. Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom B. Brown Context triple: [GPT-3, hasAuthor, Tom B. Brown]
-
A.
Tom B. Brown
chosen
Tom B. Brown is a machine learning researcher known for leading work on large-scale language models, including the influential GPT-3 paper "Language Models are Few-Shot Learners."
-
B.
Thomas J. Brown
Thomas J. Brown is an American Episcopal bishop who serves as the diocesan leader of the Episcopal Diocese of Maine.
-
C.
J. Douglas Brown
J. Douglas Brown was an American economist and academic who played a key role in shaping U.S. Social Security policy during the New Deal era.
-
D.
John Ketcham
John Ketcham is a film producer best known for his work on the biographical sports drama "The Hurricane."
-
E.
Ralph Miller
Ralph Miller was a highly respected American college basketball coach best known for transforming Oregon State University into a national contender during his long tenure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd630343f88190954d19fcd18a5864 |
completed | March 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c80125c8190b0ac3f759cce1c32 |
completed | March 21, 2026, 8:53 a.m. |
Created at: March 20, 2026, 1:14 p.m.