Triple
T2835014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L.A. Story |
E62327
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Andrew Dunn |
E89675
|
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: Andrew Dunn | Statement: [L.A. Story, cinematographyBy, Andrew Dunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Dunn Context triple: [L.A. Story, cinematographyBy, Andrew Dunn]
-
A.
Andrew Dunn
chosen
Andrew Dunn is a British cinematographer known for his work on numerous high-profile films and television productions.
-
B.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
C.
David Duffield
David Duffield is an American billionaire entrepreneur and philanthropist best known for founding the enterprise software companies PeopleSoft and Workday.
-
D.
Michael Dougherty
Michael Dougherty is an American filmmaker and screenwriter best known for genre films like Trick 'r Treat and Krampus and for directing the MonsterVerse installment Godzilla: King of the Monsters.
-
E.
Andrew Laeddis
Andrew Laeddis is the true identity of U.S. Marshal Teddy Daniels, revealed as a delusional patient in the psychological thriller "Shutter Island."
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdeea881481908d759c72798a50fb |
completed | March 7, 2026, 8:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4dae21cf08190913e7b764b3acb20 |
completed | March 14, 2026, 3:49 a.m. |
Created at: March 6, 2026, 10:01 p.m.