Triple
T18508499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Cooper as Phil Woodward |
E452264
|
entity |
| Predicate | employerInStory |
P40735
|
FINISHED |
| Object | GTX |
—
|
NE NERFINISHED |
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: GTX | Statement: [Chris Cooper as Phil Woodward, employerInStory, GTX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GTX Context triple: [Chris Cooper as Phil Woodward, employerInStory, GTX]
-
A.
GTX
chosen
GTX is the fictional corporate employer featured in the film "The Company Men," where Chris Cooper’s character Phil Woodward works.
-
B.
RTX
RTX is a rock band formed by Jennifer Herrema after the breakup of the experimental rock duo Royal Trux.
-
C.
RTX
RTX is a major American aerospace and defense company formed from the merger of Raytheon Company and United Technologies Corporation, known for its advanced military, aviation, and cybersecurity technologies.
-
D.
RTX
RTX is NVIDIA's line of graphics technologies and products centered on real-time ray tracing and advanced GPU performance for gaming and professional visualization.
-
E.
Expedition GeForce
Expedition GeForce is a highly acclaimed steel roller coaster in Germany, renowned for its intense airtime, steep drops, and smooth, fast-paced layout.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53344c6b081908e780ed5c815a766 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.