Triple
T20865045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnold Laven |
E513736
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Glory Guys |
—
|
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: The Glory Guys | Statement: [Arnold Laven, notableWork, The Glory Guys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Glory Guys Context triple: [Arnold Laven, notableWork, The Glory Guys]
-
A.
The Glory Guys
chosen
The Glory Guys is a 1965 Western war film about U.S. cavalry soldiers facing a doomed campaign against Native American forces, noted for its character-driven drama and ensemble cast.
-
B.
What Price Glory
What Price Glory is a 1926 silent war-comedy film set during World War I, best known for its blend of battlefield drama and bawdy humor.
-
C.
Glorious 39
Glorious 39 is a 2009 British World War II-era thriller-drama film centered on political intrigue and family secrets on the eve of the war.
-
D.
Mad Dog and Glory
Mad Dog and Glory is a 1993 dark comedy-crime film starring Robert De Niro, Uma Thurman, and Bill Murray, blending offbeat humor with a quirky romantic storyline.
-
E.
The Good Guys
The Good Guys is an American comedic buddy-cop television series that follows a washed-up, old-school detective and his by-the-book partner as they bumble through crime-solving in Dallas.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45fbfc88190914c5133aa4b242c |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:44 p.m.