Triple
T20032294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Youth |
E497162
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Warzone |
—
|
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: Warzone | Statement: [Todd Youth, associatedAct, Warzone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warzone Context triple: [Todd Youth, associatedAct, Warzone]
-
A.
Warzone
chosen
Warzone was a New York City hardcore punk band known for its influential role in the late-1980s hardcore scene and its association with the straight edge and skinhead subcultures.
-
B.
The Warzone
The Warzone is a hip hop group associated with the West Coast rap scene that includes rapper Goldie Loc among its members.
-
C.
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.
-
D.
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.
-
E.
Warface
Warface is a free-to-play online first-person shooter game featuring cooperative and competitive modes set in modern military environments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66293e3908190ade07ba9e09da803 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.