Triple
T20411063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cranberries |
E500586
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Zombie |
—
|
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: Zombie | Statement: [The Cranberries, notableWork, Zombie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zombie Context triple: [The Cranberries, notableWork, Zombie]
-
A.
Zombie
Zombie is a popular Monster Jam truck themed as a decaying, undead creature, known for its outstretched arms and theatrical, horror-inspired design.
-
B.
Zombie
A Zombie in Minecraft is a common hostile undead mob that attacks players and villagers, often spawning in dark areas and burning in sunlight.
-
C.
Zombie
"Zombie" is a dark psychological horror novel by Joyce Carol Oates that explores the mind of a serial killer inspired by real-life murderer Jeffrey Dahmer.
-
D.
Zombie
chosen
"Zombie" is a 1976 Afrobeat album and protest song by Nigerian musician Fela Kuti that fiercely criticizes the Nigerian military regime.
-
E.
Zombies
Zombies is a popular cooperative survival-horror game mode featuring waves of undead enemies, best known from its inclusion in Treyarch’s Call of Duty titles.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3ecb348190ae777f6276037828 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.