Triple
T17829908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christine Vachon |
E445223
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Poison |
—
|
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: Poison | Statement: [Christine Vachon, notableWork, Poison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poison Context triple: [Christine Vachon, notableWork, Poison]
-
A.
Poison
Poison is a 2018 hip hop album by producer Swizz Beatz featuring a range of high-profile guest artists and a dark, hard-hitting sound.
-
B.
Poison
"Poison" is a hit glam metal song by American band Poison, best known for its catchy hooks and prominent place in late-1980s rock.
-
C.
Poison
Poison is a 2000s-era American Christian metalcore band known for its heavy sound and faith-based lyrics.
-
D.
Poison
"Poison" is a high-energy electronic dance track by British rave group The Prodigy, known for its heavy breakbeats and gritty, experimental sound.
-
E.
Poison
chosen
"Poison" is a 1991 independent drama film by Todd Haynes, noted for its experimental narrative structure and its role as a landmark work in the New Queer Cinema movement.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48917c4d88190b919a4b75aed011c |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.