Triple
T22969534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Diaz |
E571143
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Thomas Valles |
—
|
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: Thomas Valles | Statement: [Danny Diaz, associatedWith, Thomas Valles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Valles Context triple: [Danny Diaz, associatedWith, Thomas Valles]
-
A.
Thomas Valles
chosen
Thomas Valles is a central high school runner in the film "McFarland, USA," whose personal struggles and growth help drive the underdog cross-country team's inspiring journey.
-
B.
Rick Martinez
Rick Martinez is a fictional NASA astronaut and pilot in Andy Weir’s science fiction novel "The Martian."
-
C.
Ian Hultquist
Ian Hultquist is an American composer and musician best known for his film and television scores and as a founding member and former keyboardist of the indie pop band Passion Pit.
-
D.
Robert Marcarelli
Robert Marcarelli is a film director best known for his work in Christian-themed and independent cinema.
-
E.
William Arntz
William Arntz is an American filmmaker and former software developer best known as the creator and director of the metaphysical documentary film "What the Bleep Do We Know!?".
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18231459881909dd25a0630c494d8 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.