Triple
T9788706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fear (Inside Out) |
E237551
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Josh Cooley |
E238816
|
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: Josh Cooley | Statement: [Fear (Inside Out), createdBy, Josh Cooley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Cooley Context triple: [Fear (Inside Out), createdBy, Josh Cooley]
-
A.
Josh Cooley
chosen
Josh Cooley is an American filmmaker and screenwriter best known for his work with Pixar Animation Studios, including co-writing "Inside Out" and directing "Toy Story 4."
-
B.
Joel Cox
Joel Cox is an American film editor best known for his long-time collaboration with director Clint Eastwood on numerous acclaimed movies.
-
C.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
D.
Jeff Cooney
Jeff Cooney is a television producer best known for his executive production work on the biographical anthology series "Genius."
-
E.
Kevin Cozner
Kevin Cozner is a fictional university professor and the husband of Captain Raymond Holt on the television series "Brooklyn Nine-Nine."
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2131164819099e8644e40a3cab6 |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c427cb2c81909fce8e1958ab3282 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:27 p.m.