Triple
T17324578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan Merlin |
E420651
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Men in War |
E607165
|
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: Men in War | Statement: [Jan Merlin, notableWork, Men in War]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Men in War Context triple: [Jan Merlin, 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.
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.
-
C.
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.
-
D.
Two Soldiers
"Two Soldiers" is a traditional American folk ballad about brothers going off to war, notably popularized by Bob Dylan’s recording on his 1993 album *World Gone Wrong*.
-
E.
The Face of War
The Face of War is a collection of Martha Gellhorn’s vivid, first-hand war reportage spanning multiple conflicts in the mid-20th century.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d18e3081908ca15baa743abcd8 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4a6630819082998cf754e8361f |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.