Triple
T11426693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nehemiah Persoff |
E270769
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nehemiah Persoff |
E270769
|
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: Nehemiah Persoff | Statement: [Nehemiah Persoff, name, Nehemiah Persoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nehemiah Persoff Context triple: [Nehemiah Persoff, name, Nehemiah Persoff]
-
A.
Nehemiah Persoff
chosen
Nehemiah Persoff was an American character actor known for his prolific film and television career from the 1940s through the 1990s, often portraying intense, authoritative, or villainous roles.
-
B.
Hillel Hassenfeld
Hillel Hassenfeld was an American businessman best known as a co-founder of the toy and board game company that became Hasbro.
-
C.
Nahum Gelber
Nahum Gelber was a Canadian lawyer, philanthropist, and community leader known for his significant contributions to legal education and Jewish cultural and charitable institutions.
-
D.
Zalman Ehrlich
Zalman Ehrlich is a person notable enough to be recognized as a significant bearer of the surname Ehrlich.
-
E.
Reuben Feffer
Reuben Feffer is the cautious, risk-averse insurance analyst portrayed by Ben Stiller in the romantic comedy film "Along Came Polly."
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c000b88190bfaa646b2dc424b7 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8c8e1988190aba5a2536dbb37cf |
completed | April 20, 2026, 5:25 a.m. |
Created at: April 8, 2026, 9:35 p.m.