Triple
T5084572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flags of Our Fathers |
E114604
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Joel Cox |
E220404
|
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: Joel Cox | Statement: [Flags of Our Fathers, editor, Joel Cox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Cox Context triple: [Flags of Our Fathers, editor, Joel Cox]
-
A.
Joel Cox
chosen
Joel Cox is an American film editor best known for his long-time collaboration with director Clint Eastwood on numerous acclaimed movies.
-
B.
Joel Reynolds
Joel Reynolds is a fictional protagonist whose story centers on his personal experiences and development within the narrative from which he is drawn.
-
C.
Joel Harrison
Joel Harrison is an American jazz guitarist and composer known for his genre-blending work that fuses jazz with rock, classical, and world music influences.
-
D.
Josh Cooley
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."
-
E.
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.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75192d188190a7631bce5faf7de3 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec360a5848190a243da780b53559c |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:40 p.m.