Triple
T22410924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God Hates Us All |
E553990
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | War Zone |
—
|
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: War Zone | Statement: [God Hates Us All, hasPart, War Zone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: War Zone Context triple: [God Hates Us All, hasPart, War Zone]
-
A.
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.
-
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.
Killing Zone
Killing Zone is a fictional location or area associated with the character Indestructible, typically depicted as a perilous or combat-focused environment.
-
D.
Dreadzone
Dreadzone is a British electronic music group known for blending dub, reggae, and dance influences into a distinctive, festival-friendly sound.
-
E.
Savage Streets
Savage Streets is a 1984 exploitation revenge thriller film starring Linda Blair as a high-school vigilante avenging a brutal attack on her sister.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15942edb081909869ae013ea72f09 |
completed | April 29, 2026, 1:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.