Triple

T34194483
Position Surface form Disambiguated ID Type / Status
Subject Plymouth Road Runner E877199 entity
Predicate licensingFeePaidTo P178511 FINISHED
Object Warner Bros. 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: Warner Bros. | Statement: [Plymouth Road Runner, licensingFeePaidTo, Warner Bros.]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: licensingFeePaidTo
Context triple: [Plymouth Road Runner, licensingFeePaidTo, Warner Bros.]
  • A. licensorOf
    Indicates that one entity grants another entity permission or rights to use, produce, or distribute something under specified terms.
  • B. coLicensedWith
    Indicates that two or more entities share a common license or are authorized under the same licensing agreement.
  • C. licensingPeriod
    Indicates the time span during which a license is valid and its associated rights are legally in effect.
  • D. hasLicensing
    Indicates that one entity holds or is granted licensing rights, permissions, or authorization in relation to another entity or resource.
  • E. licenseFor
    Indicates that one entity grants or holds formal permission or authorization for another entity to perform an activity, use a resource, or operate under specified conditions.
  • 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_69f349af20a4819089ac24d28f2d8112 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f710aaff588190adc6cc5b7d5424cc completed May 3, 2026, 9:08 a.m.
PD Predicate disambiguation batch_69f70f3c5bfc81908585f52e196dafe5 completed May 3, 2026, 9:02 a.m.
PDg Predicate description generation batch_69f70fddd43c819088dee5a448c72cbe completed May 3, 2026, 9:05 a.m.
Created at: May 1, 2026, 1:55 a.m.