Triple
T890807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raoul Walsh |
E19232
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | What Price Glory |
E105764
|
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: What Price Glory | Statement: [Raoul Walsh, directed, What Price Glory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: What Price Glory Context triple: [Raoul Walsh, directed, What Price Glory]
-
A.
What Price Glory
chosen
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.
-
B.
The Glory
The Glory is a track from Kanye West's acclaimed 2007 album "Graduation," known for its soulful production and reflective lyrics about success and perseverance.
-
C.
First to Fight
"First to Fight" is a well-known motto of the United States Marine Corps that emphasizes its role as an elite force ready for rapid deployment and early engagement in combat.
-
D.
A Soldier's Story
A Soldier's Story is a 1984 American drama film adapted from Charles Fuller's Pulitzer Prize–winning play, exploring racism and justice within a segregated Black army unit during World War II.
-
E.
Silver Star
Silver Star is a long-distance Amtrak passenger train that runs along the U.S. East Coast, connecting New York City with Florida.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad019e448190ab991e85dc6d7708 |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c72e207c819087f0f29a740a93ad |
completed | March 4, 2026, 5:46 a.m. |
Created at: March 1, 2026, 7:39 p.m.