Triple
T32619594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Private First Class Adrian Caparzo |
E833883
|
entity |
| Predicate | workHasGenre |
P62560
|
FINISHED |
| Object | war film |
—
|
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: war film | Statement: [Private First Class Adrian Caparzo, workHasGenre, war film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workHasGenre Context triple: [Private First Class Adrian Caparzo, workHasGenre, war film]
-
A.
hasGenreOfWorkItAppearsIn
Indicates that an entity is associated with the genre of the work in which it appears.
-
B.
hasWorkInGenreOfAuthor
Indicates that a work is associated with an author whose typical or primary genre matches the genre of that work.
-
C.
belongsToWorkGenre
chosen
Indicates that a creative work is classified under or associated with a particular genre.
-
D.
workedOnGenre
Indicates that an entity (such as a person or organization) has done work related to a particular genre.
-
E.
hasGenreInPortfolio
Indicates that an entity (such as a creator, label, or catalog) includes a particular genre within its body of work or offerings.
- 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:06 a.m.