Triple
T13933458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deja Vu |
E335048
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Paul Cameron |
E254606
|
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: Paul Cameron | Statement: [Deja Vu, cinematographyBy, Paul Cameron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Cameron Context triple: [Deja Vu, cinematographyBy, Paul Cameron]
-
A.
Paul Cameron
chosen
Paul Cameron is an American cinematographer known for his stylish, high-energy visual work on films such as Gone in 60 Seconds, Collateral, and Man on Fire.
-
B.
Ian O. Cameron
Ian O. Cameron is a Canadian-born television producer known for his long career at ABC News and for being married to former U.S. National Security Advisor Susan Rice.
-
C.
Philip Giffin
Philip Giffin is a film and television composer known for his work on the series "Boomtown."
-
D.
W. Bruce Cameron
W. Bruce Cameron is an American author best known for his heartwarming, dog-centered novels that explore the bonds between humans and their pets, including the bestselling book "A Dog’s Purpose."
-
E.
Paul Roberts
Paul Roberts is known primarily as a former husband of acclaimed American actress Ellen Burstyn.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cfd550c81909ad487d3d7d7c313 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 10:17 p.m.