Triple

T35039660
Position Surface form Disambiguated ID Type / Status
Subject Play-Tone Records E1011032 entity
Predicate hasTalentScout P62254 FINISHED
Object Phil Horace 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: Phil Horace | Statement: [Play-Tone Records, hasTalentScout, Phil Horace]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTalentScout
Context triple: [Play-Tone Records, hasTalentScout, Phil Horace]
  • A. discoversTalentOf
    Indicates that one entity identifies or recognizes the talent or abilities possessed by another entity.
  • B. scoutedFor chosen
    Indicates that one entity has been evaluated or searched out as a potential candidate, resource, or opportunity on behalf of another entity.
  • C. hasRecruitType
    Indicates that an entity is associated with a specific type or category of recruitment.
  • D. hasRecruitStatus
    Indicates that an entity holds a particular recruitment-related status or stage within a recruiting process.
  • E. hasDeepTalentPool
    Indicates that an entity possesses a large number of highly skilled or capable individuals available for roles or tasks.
  • 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_69f76dcea02c81908542a223f6d5059f completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f791cc969c8190bf187d6031a030d5 completed May 3, 2026, 6:19 p.m.
PD Predicate disambiguation batch_69f791033d288190b118029fe412b9c9 completed May 3, 2026, 6:16 p.m.
Created at: May 3, 2026, 4:01 p.m.