Triple

T12344399
Position Surface form Disambiguated ID Type / Status
Subject Armstrong-Jones family E294311 entity
Predicate hasNotableProfessionTradition P69514 FINISHED
Object 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: photography | Statement: [Armstrong-Jones family, hasNotableProfessionTradition, photography]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableProfessionTradition
Context triple: [Armstrong-Jones family, hasNotableProfessionTradition, photography]
  • A. hasNotableProfessionField
    Indicates that an entity’s notable profession or occupation belongs to a particular professional field or domain.
  • B. hasNotableProfessionDistributionIn
    Indicates that the distribution or prevalence of notable professions associated with an entity is observed or characterized within a specified context, such as a location or group.
  • C. hasTraditionIn
    Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
  • D. hasNotableEthnicIdentityInIndustry
    Indicates that an entity is recognized for having a significant or distinctive ethnic identity within a particular industry or professional field.
  • E. includesProfession chosen
    Indicates that one entity’s set of attributes, roles, or members contains a specific profession as part of 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f78a970819086beec3e4da8c49e completed April 10, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69d93ecb5efc819086a3530282278bb1 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:53 p.m.