Triple

T2377674
Position Surface form Disambiguated ID Type / Status
Subject 1945 Pulitzer Prize for Photography E46234 entity
Predicate awardedForCoverageType P38822 FINISHED
Object spot news photography 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: spot news photography | Statement: [1945 Pulitzer Prize for Photography, awardedForCoverageType, spot news photography]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: awardedForCoverageType
Context triple: [1945 Pulitzer Prize for Photography, awardedForCoverageType, spot news photography]
  • A. typeOfDiscriminationCovered
    Indicates that a particular kind or category of discriminatory behavior is included within the scope of protections, rules, or analysis.
  • B. guaranteeCoverage
    Indicates that one party commits to providing financial or protective coverage for another party or specified situation.
  • C. hasCoverage
    Indicates that one entity provides insurance or protection coverage for another entity or subject.
  • D. primaryCoverage
    Indicates that one entity serves as the main or principal source of coverage (such as insurance or protection) for another entity.
  • E. insuranceType
    Indicates the specific category or kind of insurance coverage associated with an entity or relationship.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abca4d89248190be7d712d5fa8382b completed March 7, 2026, 6:48 a.m.
PD Predicate disambiguation batch_69abc59d82f08190b7c36982d1ae783d completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abca4c937c8190b4dfca716b868d4f completed March 7, 2026, 6:48 a.m.
Created at: March 4, 2026, 7:57 p.m.