Triple
T20782689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blame the Vain |
E511534
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Watch Out |
—
|
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: Watch Out | Statement: [Blame the Vain, hasPart, Watch Out]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watch Out Context triple: [Blame the Vain, hasPart, Watch Out]
-
A.
Watch Out
"Watch Out" is a track from the soundtrack of the horror film franchise "Scream," contributing to its tense and suspenseful atmosphere.
-
B.
Watch Out
"Watch Out" is a popular hip-hop single by American rapper 2 Chainz, known for its catchy hook and club-oriented production.
-
C.
Watch Out
chosen
"Watch Out" is a song featured on the album "Blame the Vain" by American country musician Dwight Yoakam.
-
D.
Watch Out Now
"Watch Out Now" is a popular hip hop track by the Queens-based duo The Beatnuts, known for its catchy flute sample and upbeat party vibe.
-
E.
Watching Out
"Watching Out" is a non-fiction book by Australian barrister and human rights advocate Julian Burnside, in which he reflects on justice, civil liberties, and the treatment of refugees in contemporary Australia.
- 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28870e481909e7cbcdd6d4bc247 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.