Triple

T36166430
Position Surface form Disambiguated ID Type / Status
Subject Queen of Technicolor E1046010 entity
Predicate appliedToPersonChild P42033 FINISHED
Object Kent Lane 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: Kent Lane | Statement: [Queen of Technicolor, appliedToPersonChild, Kent Lane]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliedToPersonChild
Context triple: [Queen of Technicolor, appliedToPersonChild, Kent Lane]
  • A. appliesToPerson
    Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific person.
  • B. refersToPersonChild chosen
    Indicates that one entity makes reference to another entity specifically in the role of that other entity’s child.
  • C. appliedToPersonFrom
    Indicates that something (such as a request, rule, or action) is directed toward or enforced upon a person originating from a particular source or context.
  • D. appliedToPersonRole
    Indicates that something (such as a rule, condition, or action) is directed toward or relevant for a person specifically in their defined role or capacity.
  • E. appliesToPersonType
    Indicates that something (such as a rule, condition, or attribute) is relevant or applicable specifically to a certain type or category of person.
  • 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_69f76e396bc88190b99d221bff9be27a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ff76ac40988190a34d858b5472ee2b completed May 9, 2026, 6:02 p.m.
PD Predicate disambiguation batch_69ff760a90948190a12fcb80e6e3e14b completed May 9, 2026, 5:59 p.m.
Created at: May 3, 2026, 4:08 p.m.