Triple

T12976611
Position Surface form Disambiguated ID Type / Status
Subject Good Will Hunting (film score) E321540 entity
Predicate scoredForCharacter P107871 FINISHED
Object Will Hunting E209403 NE FINISHED

How this triple was built (3 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: Will Hunting | Statement: [Good Will Hunting (film score), scoredForCharacter, Will Hunting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Hunting
Context triple: [Good Will Hunting (film score), scoredForCharacter, Will Hunting]
  • A. Will Hunting chosen
    Will Hunting is a troubled but brilliant young janitor from South Boston whose extraordinary mathematical talent is discovered and nurtured in the film "Good Will Hunting."
  • B. Dr. Cal Lightman
    Dr. Cal Lightman is a brilliant but abrasive deception expert who leads a team that uses facial expressions and body language to uncover the truth in the TV series "Lie to Me."
  • C. John Book
    John Book is the tough, principled Philadelphia detective who goes undercover in an Amish community to protect a young murder witness in the film "Witness."
  • D. Cameron Frye
    Cameron Frye is the anxious, introspective best friend of Ferris in the 1986 teen comedy film "Ferris Bueller's Day Off," known for his emotional journey and strained relationship with his father.
  • E. Dan Humphrey
    Dan Humphrey is a central character in the TV series "Gossip Girl," portrayed as an outsider from Brooklyn whose relationships and secret identity drive much of the show's drama.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scoredForCharacter
Context triple: [Good Will Hunting (film score), scoredForCharacter, Will Hunting]
  • A. basedOnCharacterBy
    Indicates that one work, adaptation, or portrayal is derived from or inspired by a character created by another entity.
  • B. performedByCharacterType
    Indicates that an action or event is carried out by a character belonging to a specified character type or category.
  • C. characterInPlayBy
    Indicates that a character appears in or is part of a play authored or created by a specific person.
  • D. targetsCharacter
    Indicates that one entity is the intended focus or target of another entity’s action, effect, or behavior.
  • E. metCharacter
    Indicates that one entity has encountered or been introduced to another entity at least once.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f0315c8190aae5908ba65d5867 completed May 3, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69d97dbdd94c8190ac4bbecca02dc77b completed April 10, 2026, 10:46 p.m.
PDg Predicate description generation batch_69d97f1badac8190a59e60751f47b8d6 completed April 10, 2026, 10:52 p.m.
Created at: April 9, 2026, 8:38 p.m.