Triple
T614849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Twilight Saga: Breaking Dawn – Part 2 |
E12180
|
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: [The Twilight Saga: Breaking Dawn – Part 2, editedBy, Virginia Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virginia Katz Context triple: [The Twilight Saga: Breaking Dawn – Part 2, 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.
Jane Belson
Jane Belson was a British barrister best known as the wife of author Douglas Adams.
-
C.
Mary Grace Slattery
Mary Grace Slattery was the first wife of American playwright Arthur Miller, whom he married before achieving his major theatrical success.
-
D.
Doris Neustadt
Doris Neustadt was a benefactor and namesake of the prestigious Neustadt International Prize for Literature, recognized for her support of literary arts.
-
E.
Nancy Gates
Nancy Gates was an American film and television actress active from the 1940s through the 1960s, known for her roles in dramas, film noirs, and romantic comedies.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e0a0f588190b953fdb585263307 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf2ffb088190a49686609d7de213 |
completed | March 8, 2026, 6:25 p.m. |
Created at: March 1, 2026, 7:35 p.m.