Triple
T12775601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerrold R. Zacharias |
E305361
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jerrold |
E443770
|
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: Jerrold | Statement: [Jerrold R. Zacharias, givenName, Jerrold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerrold Context triple: [Jerrold R. Zacharias, givenName, Jerrold]
-
A.
Jerrold
chosen
Jerrold is the given name of J. Meinwald, an American chemist known for his influential work in chemical ecology and natural products chemistry.
-
B.
Jerold
Jerold is the full given first name of American college basketball coach Jay Wright.
-
C.
Jerrald
Jerrald is the birth name of Jerry Goldsmith, the acclaimed American film and television composer known for his innovative and influential scores.
-
D.
Hagey
Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
-
E.
Randolf
Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df6b3c88190b0bbe70de8ddcbf3 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684fee60c81909245d4d70c9338c0 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:29 p.m.