Triple
T11519409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Flynn |
E273121
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Red Pill Blues |
E267749
|
NE FINISHED |
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: Red Pill Blues | Statement: [Matt Flynn, notableWork, Red Pill Blues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Pill Blues Context triple: [Matt Flynn, notableWork, Red Pill Blues]
-
A.
Red Pill Blues
chosen
Red Pill Blues is a pop-oriented studio album by American band Maroon 5, known for its electronic influences and hit singles like "What Lovers Do" and "Girls Like You."
-
B.
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.
-
C.
Rose Sees Red
Rose Sees Red is a young adult novel by Cecil Castellucci that follows the unlikely friendship between an American girl and a Soviet ballerina in 1980s New York City amid Cold War tensions.
-
D.
Blow
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.
-
E.
Blow
"Blow" is a disco-funk inspired song by Beyoncé, known for its sensual lyrics, retro production, and vibrant roller-disco themed visuals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fcf927081908ef89eff7ad833b0 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62540ff4c81909206db0344842c3b |
completed | April 20, 2026, 1:08 p.m. |
Created at: April 8, 2026, 9:36 p.m.