Triple

T21542982
Position Surface form Disambiguated ID Type / Status
Subject The Investigators E531540 entity
Predicate hasProtagonistSpecialization P106209 FINISHED
Object insurance investigations LITERAL 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: insurance investigations | Statement: [The Investigators, hasProtagonistSpecialization, insurance investigations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProtagonistSpecialization
Context triple: [The Investigators, hasProtagonistSpecialization, insurance investigations]
  • A. hasFictionalSpecialization
    Indicates that an entity’s area of focus, expertise, or role is within a fictional or imaginative domain rather than a real-world specialization.
  • B. hasProfessionTrait chosen
    Indicates that an entity possesses a particular characteristic, quality, or attribute specifically related to their profession or occupational role.
  • C. hasProtagonistAbility
    Indicates that a protagonist possesses a specific ability, power, or special skill.
  • D. hasSpecialist
    Indicates that one entity is associated with or assigned to a specialist entity that provides expert support, service, or oversight for it.
  • E. hasProtagonist
    Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58c34808190b0eb54ba01e2cc13 completed April 27, 2026, 1:02 a.m.
PD Predicate disambiguation batch_69e6320766308190ba5dca2f7c826aa4 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:28 p.m.