Triple

T4948815
Position Surface form Disambiguated ID Type / Status
Subject Lewisburg Cemetery E111115 entity
Predicate hasNotablePersonCategory P60117 FINISHED
Object professional athletes 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: professional athletes | Statement: [Lewisburg Cemetery, hasNotablePersonCategory, professional athletes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotablePersonCategory
Context triple: [Lewisburg Cemetery, hasNotablePersonCategory, professional athletes]
  • A. notableCategory
    Indicates that an entity is recognized as notable or significant within a particular category or classification.
  • B. hasNotablePersonAsFace
    Indicates that an entity is publicly represented or symbolized by a specific notable person, such as a spokesperson, ambassador, or brand face.
  • C. holderNotableFor
    Indicates that a holder (such as a person or organization) is particularly known or recognized for a specific role, achievement, work, or characteristic.
  • D. notableRecordCategory
    Indicates that an entity is notably associated with a particular category of records or record-related achievements.
  • E. hasNotableHonoree
    Indicates that an entity is notably dedicated to, named after, or honors a particular person or group.
  • F. None of above. chosen

Provenance (4 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7166bb6c8190a40775ac8bb723a8 completed March 20, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa completed March 20, 2026, 3:48 p.m.
PDg Predicate description generation batch_69bd6fa2d2088190ae444d3d0e47d5d2 completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 1:31 p.m.