Triple
T22282829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Glory Trail |
E550779
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tom Keene |
—
|
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: Tom Keene | Statement: [The Glory Trail, starring, Tom Keene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Keene Context triple: [The Glory Trail, starring, Tom Keene]
-
A.
Tom Keene
chosen
Tom Keene was an American actor best known for his roles in Western films during the 1930s and 1940s.
-
B.
Martin Kean
Martin Kean is a musician best known as a former member of the avant-pop band Stereolab.
-
C.
Tim Murphy
Tim Murphy is the dinosaur-obsessed grandson of John Hammond who becomes one of the central child protagonists surviving the chaos in the original Jurassic Park film.
-
D.
Mike Deasy
Mike Deasy is an American session guitarist best known for his prolific 1960s studio work in Los Angeles as part of the famed group of musicians known as the Wrecking Crew.
-
E.
Joe Flaherty
Joe Flaherty was a Canadian-American comedian and actor best known as an original cast member and writer on the sketch comedy series SCTV.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14eacd6cc8190812c6f672641050e |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.