Triple

T4701617
Position Surface form Disambiguated ID Type / Status
Subject Earvin E104285 entity
Predicate associatedWithProfessionOfNotableBearer P35215 FINISHED
Object basketball player 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: basketball player | Statement: [Earvin, associatedWithProfessionOfNotableBearer, basketball player]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithProfessionOfNotableBearer
Context triple: [Earvin, associatedWithProfessionOfNotableBearer, basketball player]
  • A. isAssociatedWithProfessionOfBearer chosen
    Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
  • B. notablyAssociatedWith
    Indicates that one entity is prominently or distinctively connected with another in a way that is especially noteworthy or remarkable.
  • C. associatedWithNotableAchievementOfNameBearer
    Indicates a relationship where an entity is linked to a notable achievement accomplished by a person who bears a particular name.
  • D. hasNotableBearerOccupation
    Indicates that an entity is associated with a notable person who holds a specific occupation.
  • E. notableHolderRole
    Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd650ad0f88190844bfcb46b3071c2 completed March 20, 2026, 3:17 p.m.
PD Predicate disambiguation batch_69bd621ba7448190a53ab1e2897acf71 completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:17 p.m.