Triple
T14503924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherman Weissman |
E340214
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sherman Weissman |
—
|
NE NERFINISHED |
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: Sherman Weissman | Statement: [Sherman Weissman, name, Sherman Weissman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherman Weissman Context triple: [Sherman Weissman, name, Sherman Weissman]
-
A.
Sherman Weissman
chosen
Sherman Weissman is an American geneticist known for his pioneering work in molecular genetics and his long-standing research and teaching career at Yale School of Medicine.
-
B.
Daniel H. Weiss
Daniel H. Weiss is an American art historian and academic leader who served as president and CEO of New York’s Metropolitan Museum of Art.
-
C.
Morris Weinstein
Morris Weinstein, better known by his stage name Jack Weston, was an American character actor recognized for his work in film, television, and theater from the 1950s through the 1980s.
-
D.
Stanley Weiser
Stanley Weiser is an American screenwriter best known for co-writing the film "Wall Street," which introduced the iconic character Gordon Gekko.
-
E.
John Weiss
John Weiss is a relatively obscure individual whose specific notability is not clearly established from the given information.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
Created at: April 10, 2026, 1:21 a.m.