Triple
T17973129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Griffiths |
E449396
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Blow |
—
|
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: Blow | Statement: [Rachel Griffiths, notableWork, Blow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blow Context triple: [Rachel Griffiths, notableWork, Blow]
-
A.
Blow
"Blow" is a disco-funk inspired song by Beyoncé, known for its sensual lyrics, retro production, and vibrant roller-disco themed visuals.
-
B.
Blow
Blow is a track by the American heavy metal band Bastard, known for its aggressive sound and raw energy.
-
C.
Blow
chosen
Blow is a 2001 crime drama film that chronicles the rise and fall of American cocaine smuggler George Jung within the 1970s–1980s drug trade.
-
D.
Blow Out
Blow Out is a 1981 neo-noir political thriller film directed by Brian De Palma, known for its suspenseful blend of conspiracy, sound design, and psychological tension.
-
E.
Blowup
Blowup is a 1966 mystery drama film by Michelangelo Antonioni, renowned for its exploration of perception and reality through the story of a London photographer who may have inadvertently captured a murder on film.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1fca04481908f0dd875953fd82f |
completed | April 19, 2026, 10:44 a.m. |
Created at: April 10, 2026, 10:22 a.m.