Triple
T18438580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mimi Leder |
E450461
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mimi Leder |
—
|
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: Mimi Leder | Statement: [Mimi Leder, name, Mimi Leder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mimi Leder Context triple: [Mimi Leder, name, Mimi Leder]
-
A.
Mimi Leder
chosen
Mimi Leder is an American film and television director and producer known for her work on impactful dramas such as "Deep Impact," "The Leftovers," and "On the Basis of Sex."
-
B.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
C.
Jyll Rosenfeld
Jyll Rosenfeld is an American talent manager and producer best known as the longtime wife and manager of comedian Jackie Mason.
-
D.
Alicia Z. Rosenfeld
Alicia Z. Rosenfeld is a book editor known for her work on the inspirational Christian memoir "Miracles from Heaven."
-
E.
Shana Goldberg-Meehan
Shana Goldberg-Meehan is an American television writer and producer best known for her work on the sitcoms "Friends" and its spin-off "Joey."
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0ed6708190ae90efd8455ec352 |
completed | April 19, 2026, 6:16 p.m. |
Created at: April 10, 2026, 11:29 a.m.