Triple

T1214851
Position Surface form Disambiguated ID Type / Status
Subject McFeely E26084 entity
Predicate associatedWithOccupationOfNameBearer P365 FINISHED
Object children's television host 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: children's television host | Statement: [McFeely, associatedWithOccupationOfNameBearer, children's television host]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithOccupationOfNameBearer
Context triple: [McFeely, associatedWithOccupationOfNameBearer, children's television host]
  • A. derivesFromOccupation
    Indicates that one entity originates from, is obtained through, or is a result of another entity’s occupation or professional role.
  • B. namesakeOccupation chosen
    Indicates that one entity’s occupation is the same as, or derived from, the occupation associated with the other entity’s namesake.
  • C. occupationOf
    Indicates that one entity holds or performs the job, role, or profession associated with another entity.
  • D. requiredOccupationOf
    Indicates that one entity specifies the occupation or job role that is required or expected for another entity (such as a position, task, or qualification).
  • E. representedOccupation
    Indicates that one entity has served as an official or formal representative of another entity’s occupation or professional role.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be0370b4819093618930f4eecfcc completed March 1, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69a4bb62a7c08190a79dcb6ff72ac99b completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:46 p.m.