Triple
T20521637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Taylor |
E503821
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Men in War |
—
|
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: Men in War | Statement: [Joan Taylor, notableWork, Men in War]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Men in War Context triple: [Joan Taylor, notableWork, Men in War]
-
A.
Men in War
chosen
Men in War is a 1957 American war film, directed by Anthony Mann, that portrays the psychological strain and moral ambiguity faced by a small U.S. Army unit during the Korean War.
-
B.
People at War
People at War is a song featured on the album "Black and White Rainbows" by British rock band Bush.
-
C.
Men in Battle
Men in Battle is a memoir by American writer Alvah Bessie recounting his experiences fighting with the International Brigades in the Spanish Civil War.
-
D.
Die Soldaten
Die Soldaten is a seminal 18th-century German play by Jakob Michael Reinhold Lenz that portrays the moral decay and social consequences of militarism and class oppression.
-
E.
Two Soldiers
Two Soldiers is a short film adaptation of a William Faulkner story that won the Academy Award for Best Live Action Short Film.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f46488c819093687b4e07837793 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.