Triple
T6150583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McFarland, USA |
E137188
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Thomas Valles
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.
|
E571142
|
NE FINISHED |
How this triple was built (4 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: [McFarland, USA, character, Thomas Valles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Valles Context triple: [McFarland, USA, character, Thomas Valles]
-
A.
Rick Martinez
Rick Martinez is a fictional NASA astronaut and pilot in Andy Weir’s science fiction novel "The Martian."
-
B.
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.
-
C.
Robert Marcarelli
Robert Marcarelli is a film director best known for his work in Christian-themed and independent cinema.
-
D.
Frank Mauro
Frank Mauro is a musician known for being a member of the influential New York punk band Richard Hell and the Voidoids.
-
E.
John David Stier
John David Stier is the son of Nobel Prize–winning mathematician John Nash and Eleanor Stier.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Thomas Valles Triple: [McFarland, USA, character, Thomas Valles]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Valles Target entity description: 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.
-
A.
Rick Martinez
Rick Martinez is a fictional NASA astronaut and pilot in Andy Weir’s science fiction novel "The Martian."
-
B.
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.
-
C.
Robert Marcarelli
Robert Marcarelli is a film director best known for his work in Christian-themed and independent cinema.
-
D.
Frank Mauro
Frank Mauro is a musician known for being a member of the influential New York punk band Richard Hell and the Voidoids.
-
E.
John David Stier
John David Stier is the son of Nobel Prize–winning mathematician John Nash and Eleanor Stier.
- F. None of above. chosen
Provenance (5 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce329648190a03ba0233df841fa |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1360d84e081909ff6c06e3bd54aee |
completed | March 23, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_69c137d902c08190a857814ff70a82eb |
completed | March 23, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1389690e88190b1a9045c3a8fc892 |
completed | March 23, 2026, 12:56 p.m. |
Created at: March 22, 2026, 4:16 p.m.