Triple
T12407986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Lerner |
E296437
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael Lerner |
E296437
|
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: Michael Lerner | Statement: [Michael Lerner, name, Michael Lerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Lerner Context triple: [Michael Lerner, name, Michael Lerner]
-
A.
Michael Lerner
chosen
Michael Lerner was an American character actor known for his prolific film and television career, including an Academy Award–nominated role in "Barton Fink."
-
B.
Michael Alan Lerner
Michael Alan Lerner is an American screenwriter best known for co-writing the acclaimed biographical drama film "Love & Mercy" about Beach Boys leader Brian Wilson.
-
C.
Michele Lerner
Michele Lerner is known primarily as the third wife of American lyricist and playwright Alan Jay Lerner.
-
D.
Jeffrey Lerner
Jeffrey Lerner is a film and television producer known for his work as an executive producer on various projects, including the movie "Watch Over Me."
-
E.
Michael Levin
Michael Levin is a philosopher known for his work in epistemology, philosophy of race, and his controversial conservative views on social and political issues.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4a08e0819085c656e35038e6b2 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6556495208190abd2e3e5aaac57a5 |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:55 p.m.