Triple
T2289796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burlesque |
E51475
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Virginia Katz |
E199467
|
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: Virginia Katz | Statement: [Burlesque, editedBy, Virginia Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virginia Katz Context triple: [Burlesque, editedBy, Virginia Katz]
-
A.
Virginia Katz
chosen
Virginia Katz is a film editor known for her work on major Hollywood productions, including entries in the Twilight Saga.
-
B.
Gail Katz
Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
-
C.
Virginia Weidler
Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
-
D.
Beverly Van Zile
Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
-
E.
Jane Burnham
Jane Burnham is the disaffected teenage daughter in the film "American Beauty," whose strained family relationships and search for identity reflect the movie’s critique of suburban life.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc273b67c8190bcd96f9a484647ef |
completed | March 7, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67a122ac81909843cd58f3f8f08d |
completed | March 21, 2026, 9:40 a.m. |
Created at: March 4, 2026, 7:48 p.m.