Triple
T23951939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Frenchman |
E603068
|
entity |
| Predicate | warFilmContext |
P38821
|
FINISHED |
| Object | home front during World War II |
—
|
LITERAL 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: home front during World War II | Statement: [Johnny Frenchman, warFilmContext, home front during World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warFilmContext Context triple: [Johnny Frenchman, warFilmContext, home front during World War II]
-
A.
warDepicted
Indicates that a work or representation portrays, illustrates, or otherwise depicts a particular war or armed conflict.
-
B.
warTheaterContext
Indicates the broader war or military campaign within which a specific battle, operation, or conflict event takes place.
-
C.
warName
Indicates the specific name or title assigned to a particular war or armed conflict.
-
D.
warFrontDepicted
chosen
Indicates that a particular war front or battlefield area is visually represented or shown in a depiction.
-
E.
militaryTheater
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
- F. None of above.
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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d48bc881909d58d258757e67ad |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:20 p.m.