Triple
T18285651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Wasserstein |
E437974
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wasserstein |
—
|
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: Wasserstein | Statement: [Bruce Wasserstein, familyName, Wasserstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wasserstein Context triple: [Bruce Wasserstein, familyName, Wasserstein]
-
A.
Wasserstein
chosen
Wasserstein is a surname most prominently associated with the Pulitzer Prize–winning American playwright Wendy Wasserstein.
-
B.
Langevin
Langevin is a French surname most notably associated with physicist Paul Langevin and several other prominent figures in science and public life.
-
C.
Weil
Weil is a surname most notably associated with André Weil, a prominent 20th-century French mathematician and co-founder of the Bourbaki group.
-
D.
Weil
Weil is a small river in the German state of Hesse that flows through the Taunus region before joining the Lahn.
-
E.
Weil
Weil is a prominent international law firm known for its work in corporate, restructuring, and litigation matters.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fa2f308190a4744a4ed630b8d9 |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.