Triple
T25415858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Play Dirty |
E636829
|
entity |
| Predicate | warTheaterDepicted |
P710
|
FINISHED |
| Object | Western Desert |
—
|
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: Western Desert | Statement: [Play Dirty, warTheaterDepicted, Western Desert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warTheaterDepicted Context triple: [Play Dirty, warTheaterDepicted, Western Desert]
-
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.
militaryTheater
chosen
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
-
D.
warFrontDepicted
Indicates that a particular war front or battlefield area is visually represented or shown in a depiction.
-
E.
depictsWarAs
Indicates that one entity portrays or represents war in a particular way or light.
- 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5b0119ee0819088c4985bd7862cab |
completed | May 2, 2026, 8:04 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:55 p.m.