Triple

T32370618
Position Surface form Disambiguated ID Type / Status
Subject Gunnery Sergeant Hartman E827123 entity
Predicate trainingLocationInFiction P176984 FINISHED
Object Marine Corps Recruit Depot Parris Island 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: Marine Corps Recruit Depot Parris Island | Statement: [Gunnery Sergeant Hartman, trainingLocationInFiction, Marine Corps Recruit Depot Parris Island]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trainingLocationInFiction
Context triple: [Gunnery Sergeant Hartman, trainingLocationInFiction, Marine Corps Recruit Depot Parris Island]
  • A. locationWithinFiction
    Indicates that one fictional location is situated inside or contained within another fictional location.
  • B. positionInFiction
    Indicates that one entity holds a specific role, status, or placement within a fictional work or narrative.
  • C. fictionalTryoutLocationInSeries
    Indicates the location where a fictional tryout event takes place within a specific series.
  • D. testsInFiction
    Indicates that one entity is a test, exam, or assessment that appears within the narrative or setting of a fictional work.
  • E. raceWithinFiction
    Indicates that one fictional character or entity belongs to a particular race or species within a fictional universe.
  • F. None of above. chosen

Provenance (4 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_69f349166d548190887b412fe908e2f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6f85bfba48190aba95b40642a8ca7 completed May 3, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69f6f6619404819084662aef1238261c completed May 3, 2026, 7:16 a.m.
PDg Predicate description generation batch_69f6f814fcf48190ae4504154d1b2c05 completed May 3, 2026, 7:24 a.m.
Created at: May 1, 2026, 12:50 a.m.