Triple

T8739427
Position Surface form Disambiguated ID Type / Status
Subject Richard LaGravenese E207463 entity
Predicate directed P7373 FINISHED
Object Unstrung Heroes E754884 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: Unstrung Heroes | Statement: [Richard LaGravenese, directed, Unstrung Heroes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unstrung Heroes
Context triple: [Richard LaGravenese, directed, Unstrung Heroes]
  • A. Unstrung Heroes chosen
    Unstrung Heroes is a 1995 American comedy-drama film about a young boy who copes with his mother's illness by moving in with his eccentric uncles.
  • B. Hot Shop Heroes
    Hot Shop Heroes is a glassblowing program that provides therapeutic, skill-building art experiences—often for veterans and first responders—at the Museum of Glass.
  • C. Los Héroes
    Los Héroes is a major Santiago Metro station and transfer hub in Chile’s capital city.
  • D. Gunstar Heroes
    Gunstar Heroes is a fast-paced run-and-gun action game by Treasure, renowned for its cooperative gameplay, inventive level design, and impressive graphics on 16-bit hardware.
  • E. Edgar in Heroes
    Edgar in Heroes is a superhuman speedster and skilled knife-thrower who serves as a dangerous enforcer within the Carnival in the TV series Heroes.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d486e34819094a6c6ec26c047cf completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf517c6fac8190b782c8f441635814 completed April 3, 2026, 5:34 a.m.
Created at: March 30, 2026, 6:38 p.m.