Triple
T16677444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinco Diablo |
E405248
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Warzone |
E1035072
|
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: Warzone | Statement: [Cinco Diablo, hasPart, Warzone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warzone Context triple: [Cinco Diablo, hasPart, Warzone]
-
A.
The Warzone
The Warzone is a hip hop group associated with the West Coast rap scene that includes rapper Goldie Loc among its members.
-
B.
The War Zone
The War Zone is a 1999 British drama film, adapted from Alexander Stuart’s novel, that starkly explores familial abuse and trauma.
-
C.
Battlelines
Battlelines is a political memoir and policy manifesto by former Australian Prime Minister Tony Abbott, outlining his ideological views and vision for Australia's future.
-
D.
Warface
Warface is a free-to-play online first-person shooter game featuring cooperative and competitive modes set in modern military environments.
-
E.
War Zone
chosen
War Zone was the second-hour segment of WWF’s flagship television program during the late 1990s “Attitude Era,” featuring its edgier, main-event storylines and matches.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6c805c81909fbe4fcb20eedbe1 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3c79888190b6ddd55b91d97183 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.