Triple

T14543641
Position Surface form Disambiguated ID Type / Status
Subject Scott Prince E341232 entity
Predicate afterRetirementActivity P10023 FINISHED
Object rugby league coaching 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: rugby league coaching | Statement: [Scott Prince, afterRetirementActivity, rugby league coaching]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: afterRetirementActivity
Context triple: [Scott Prince, afterRetirementActivity, rugby league coaching]
  • A. spentLaterLifeAt
    Indicates that an individual resided, worked, or was primarily based at a particular place during the later period of their life.
  • B. roleAfterRetirement chosen
    Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
  • C. retired
    Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
  • D. retiredTo
    Indicates that an entity has permanently left active service or work and taken up residence or status in a particular place or role as their retirement destination.
  • E. returnedFromRetirement
    Indicates that an entity has resumed an activity, role, or position after having previously retired from it.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1be5a8081909bf727e28a5bba4a completed April 14, 2026, 9:29 p.m.
PD Predicate disambiguation batch_69de5c546c7081909e27d504ec360c5c completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:22 a.m.