Triple

T20661396
Position Surface form Disambiguated ID Type / Status
Subject Christine E507766 entity
Predicate hasVehicleName P55902 FINISHED
Object Christine NE NERFINISHED

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: Christine | Statement: [Christine, hasVehicleName, Christine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine
Context triple: [Christine, hasVehicleName, Christine]
  • A. Christine
    Christine is a fictional character from the 1951 British drama film "Journey into Light."
  • B. Christine
    Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
  • C. Christine
    Christine is a central character in the 1973 mystery film "The Last of Sheila," around whom key elements of the movie’s intricate whodunit plot revolve.
  • D. Christine
    Christine is the given first name of American singer, songwriter, and actress Christina Milian.
  • E. Christine chosen
    Christine is a 1983 horror film directed by John Carpenter about a possessed, malevolent 1958 Plymouth Fury.
  • 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: hasVehicleName
Context triple: [Christine, hasVehicleName, Christine]
  • A. vehicleName chosen
    Indicates the specific name or designation assigned to a vehicle.
  • B. testVehicleName
    Indicates that an entity is used to test or validate the name assigned to a vehicle.
  • C. hasVehicle
    Indicates that one entity possesses, owns, or is assigned a vehicle.
  • D. vehicleUsed
    Indicates that a particular vehicle is utilized or employed in performing an action, event, or activity.
  • E. intendedVehicle
    Indicates that one entity is the vehicle that another entity plans or is meant to use.
  • F. None of above.

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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2f2ee4081908df9ba897c9dfc98 completed April 20, 2026, 11:12 p.m.
PD Predicate disambiguation batch_69e5c0315f5081908098707c6455e56e completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 11:44 a.m.