Triple
T13259979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traffic (2000 American crime drama film) |
E315767
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Laura Bickford |
E526866
|
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: Laura Bickford | Statement: [Traffic (2000 American crime drama film), producer, Laura Bickford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Bickford Context triple: [Traffic (2000 American crime drama film), producer, Laura Bickford]
-
A.
Laura Bickford
chosen
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
B.
Laura Rister
Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
-
C.
Laura Merriman
Laura Merriman is known as the spouse of Dwight Merriman, the co-founder and former CEO of DoubleClick and co-founder of MongoDB.
-
D.
Annmarie Fulton
Annmarie Fulton is an actress best known for her role in the film "Sweet Sixteen."
-
E.
Mary Beth Peil
Mary Beth Peil is an American actress and singer known for her work on Broadway, in film and television, and for originating prominent roles in major stage productions.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f778088819082b8a596c04bfe02 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb58e50bc819086622a33b59cc332 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 9, 2026, 9:25 p.m.