Triple

T18029721
Position Surface form Disambiguated ID Type / Status
Subject Flicka E431352 entity
Predicate partOfSeries P1761 FINISHED
Object Flicka film series 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: Flicka film series | Statement: [Flicka, partOfSeries, Flicka film series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flicka film series
Context triple: [Flicka, partOfSeries, Flicka film series]
  • A. Flicka chosen
    Flicka is a 2006 family drama film about a teenage girl and her bond with a wild mustang, adapted from the classic novel "My Friend Flicka."
  • B. Appaloosa
    Appaloosa is a Western novel by Robert B. Parker that follows two lawmen hired to bring order to a violent frontier town.
  • C. Hollywood Animal
    Hollywood Animal is a memoir by screenwriter Joe Eszterhas recounting his tumultuous life and career in Hollywood.
  • D. Mustangs
    Mustangs are the athletic teams and school spirit symbol representing Milton Academy in its interscholastic sports and community events.
  • E. Mustangs
    The Mustangs are the athletic teams representing Morningside College in intercollegiate sports.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be347f6c8190b324fe74b7dc1764 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.