Triple
T10881082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What is Mathematics? |
E256918
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object | Herbert Robbins |
E322458
|
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: Herbert Robbins | Statement: [What is Mathematics?, coAuthor, Herbert Robbins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herbert Robbins Context triple: [What is Mathematics?, coAuthor, Herbert Robbins]
-
A.
Herbert Robbins
chosen
Herbert Robbins was an influential American mathematician known for his work in statistics, probability theory, and the co-authorship of the classic textbook "What Is Mathematics?"
-
B.
Harold Resnick
Harold Resnick is an individual notable enough to be recognized as a bearer of the Resnick surname, though specific widely known public details about him are not readily available.
-
C.
Charles B. Wessler
Charles B. Wessler is an American film producer best known for his work on the Academy Award–winning film "Green Book" and various successful comedies.
-
D.
Murray Millner
Murray Millner is an individual notable enough to be recognized as a bearer of the Millner surname.
-
E.
Sidney Resnick
Sidney Resnick is an American mathematician known for his contributions to probability theory, particularly in the areas of extreme value theory and heavy-tailed distributions.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751b031a88190b1182dfc1f520264 |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b76fa8348190bb42f1c71eb0e545 |
completed | April 20, 2026, 5:19 a.m. |
Created at: April 8, 2026, 9:21 p.m.