Triple
T2124503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finding Nemo |
E46396
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | David Reynolds |
E250496
|
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: David Reynolds | Statement: [Finding Nemo, storyBy, David Reynolds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Reynolds Context triple: [Finding Nemo, storyBy, David Reynolds]
-
A.
David Reynolds
chosen
David Reynolds is an American screenwriter best known for his work on acclaimed animated films such as Pixar's "Finding Nemo."
-
B.
David Duffield
David Duffield is an American billionaire entrepreneur and philanthropist best known for founding the enterprise software companies PeopleSoft and Workday.
-
C.
David Burrows
David Burrows is a film editor best known for his work on major animated features, including The Lego Movie.
-
D.
Michael Ward
Michael Ward was a British character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
-
E.
Michael Fortier
Michael Fortier is an American former associate of Timothy McVeigh who became known for his involvement in and testimony about the 1995 Oklahoma City bombing.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb55cb2c8190aab8199da3335032 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae893ade888190980001116e10c874 |
completed | March 9, 2026, 8:47 a.m. |
Created at: March 4, 2026, 7:44 p.m.