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.