Triple
T22663801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma (2019 film) |
E559729
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Jill Savitt |
—
|
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: Jill Savitt | Statement: [Ma (2019 film), editedBy, Jill Savitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jill Savitt Context triple: [Ma (2019 film), editedBy, Jill Savitt]
-
A.
Jill Savitt
chosen
Jill Savitt is a film editor known for her work on movies such as the supernatural thriller "Stir of Echoes."
-
B.
Jill Krementz
Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
-
C.
Jill Furman
Jill Furman is a Tony Award–winning American theatrical producer best known for her work on hit Broadway shows including the musical phenomenon "Hamilton."
-
D.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
E.
Jill Goldstein
Jill Goldstein is a reality television personality best known for appearing on Showtime’s lesbian-focused series "The Real L Word."
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f176617ed8819095a58a2c9f1e3918 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:08 p.m.