Triple
T23190332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do Me! |
E579713
|
entity |
| Predicate | album |
P1995
|
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: [Do Me!, album, Poison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poison Context triple: [Do Me!, album, 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 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.
-
C.
Poison
Poison is a recurring character in Capcom’s Final Fight and Street Fighter series, known for her pink hair, revealing outfit, and acrobatic, whip-based fighting style.
-
D.
Poison
Poison is a 2000s-era American Christian metalcore band known for its heavy sound and faith-based lyrics.
-
E.
Poison
chosen
Poison is an American glam metal band best known for its 1980s hits like "Every Rose Has Its Thorn" and "Nothin' but a Good Time."
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd65e008190a724619a107d7bd1 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.