Triple

T37370354
Position Surface form Disambiguated ID Type / Status
Subject Guthrie Featherstone E927824 entity
Predicate fictionalProfessionContext P199849 FINISHED
Object English law 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: English law | Statement: [Guthrie Featherstone, fictionalProfessionContext, English law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalProfessionContext
Context triple: [Guthrie Featherstone, fictionalProfessionContext, English law]
  • A. fictionalProfessionSpecialty
    Indicates that a fictional character’s professional role is specialized in a particular subfield, focus area, or niche within that profession.
  • B. fictionalOccupation
    Indicates that one entity is the imaginary or narrative-based job, role, or profession attributed to another entity within a fictional context.
  • C. fictionalProfessionStatus
    Indicates that an entity holds, has held, or is described as holding a profession or occupational role that is fictional rather than real.
  • D. laterOccupationInFiction
    Indicates that a fictional character holds a particular occupation at a later point in the narrative or timeline, distinct from their earlier roles.
  • E. hasFictionalProfessionLevel
    Indicates that an entity holds a fictional or imagined profession at a specified level, rank, or degree of expertise.
  • 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_69f76eb820248190a5c395ca50ad002a completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ff5b233e9c8190adc06cca0758986b completed May 9, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69ff5a5682108190a006b23c4fcdcc7c completed May 9, 2026, 4:01 p.m.
PDg Predicate description generation batch_69ff5b224b8c8190bd0955876098ecc8 completed May 9, 2026, 4:04 p.m.
Created at: May 3, 2026, 4:16 p.m.