Triple

T32988372
Position Surface form Disambiguated ID Type / Status
Subject Gray Sports Publishing E844008 entity
Predicate hasFictionalTimeCoverage P60994 FINISHED
Object 1950–2000 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: 1950–2000 | Statement: [Gray Sports Publishing, hasFictionalTimeCoverage, 1950–2000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalTimeCoverage
Context triple: [Gray Sports Publishing, hasFictionalTimeCoverage, 1950–2000]
  • A. existsInFictionalTimePeriod
    Indicates that an entity is situated within, or associated with, a time period that is fictional rather than part of real-world history.
  • B. hasFictionalTimeAfter
    Indicates that one fictional time point or period occurs later than another within a narrative or imagined timeline.
  • C. fictionalTime chosen
    Indicates that the associated time or temporal reference exists only within a fictional or imagined context, rather than in real-world chronology.
  • D. hasFictionalScope
    Indicates that something pertains to, applies within, or is limited to a fictional or imagined context rather than real-world scope.
  • E. hasFictionalFrame
    Indicates that one entity is presented or interpreted within the context of a fictional narrative, scenario, or imaginative framework provided by another entity.
  • 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_69f3494d99988190b502c68926af2c4d completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69feff70fbec8190b1ff5f943f29613e completed May 9, 2026, 9:33 a.m.
PD Predicate disambiguation batch_69fefbcd5b7881909cfe52b32f8a4301 completed May 9, 2026, 9:18 a.m.
Created at: May 1, 2026, 1:22 a.m.