Triple

T8068792
Position Surface form Disambiguated ID Type / Status
Subject Walt Whitman High School (South Huntington, New York) E188313 entity
Predicate namedAfterFieldOfNotability P39276 FINISHED
Object literature 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: literature | Statement: [Walt Whitman High School (South Huntington, New York), namedAfterFieldOfNotability, literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: namedAfterFieldOfNotability
Context triple: [Walt Whitman High School (South Huntington, New York), namedAfterFieldOfNotability, literature]
  • A. notableField chosen
    Indicates the field, discipline, or area of activity for which an entity is especially known or distinguished.
  • B. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • C. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • D. lacksNotabilityAs
    Indicates that one entity is considered insufficiently notable or significant to be associated with or classified as the other entity.
  • E. subjectNotableFor
    Indicates that the subject is especially recognized or distinguished for a particular attribute, achievement, role, or characteristic.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ffbd59c8190a34398ddb4ee551e completed March 31, 2026, 3:31 a.m.
PD Predicate disambiguation batch_69cb049cd51c8190bb3b0f503e42fa8d completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:27 p.m.