Triple
T10752356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shark Tale |
E253599
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Nick Fletcher |
E702927
|
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: Nick Fletcher | Statement: [Shark Tale, editedBy, Nick Fletcher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Fletcher Context triple: [Shark Tale, editedBy, Nick Fletcher]
-
A.
Nick Fletcher
Nick Fletcher is a cinematographer best known for his work on the animated film "Bee Movie."
-
B.
Nick Fletcher
chosen
Nick Fletcher is a film editor best known for his work on animated features, including serving as an editor on the movie "Bee Movie."
-
C.
Sean Fletcher
Sean Fletcher is a fictional character from the 1995 romantic comedy film "Nine Months," which centers on the upheaval caused by an unexpected pregnancy.
-
D.
Michael Fottrell
Michael Fottrell is a film producer best known for his work on major action franchises, including entries in the Fast & Furious series.
-
E.
Keith Fenton
Keith Fenton is the charming yet unfaithful boyfriend whose behavior sparks the romantic mind games at the center of the film "Two Can Play That Game."
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d448fac81909137b0a0ed9b976e |
completed | April 19, 2026, 1:17 a.m. |
Created at: April 8, 2026, 9:15 p.m.