Triple

T4553965
Position Surface form Disambiguated ID Type / Status
Subject Mr. Papers E120436 entity
Predicate hasNotableRelationshipType P43975 FINISHED
Object romantic partner of celebrity 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: romantic partner of celebrity | Statement: [Mr. Papers, hasNotableRelationshipType, romantic partner of celebrity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableRelationshipType
Context triple: [Mr. Papers, hasNotableRelationshipType, romantic partner of celebrity]
  • A. hasNotableConnectionTo chosen
    Indicates a significant or noteworthy relationship, association, or link exists between two entities.
  • B. hasNotableType
    Indicates that an entity is associated with a specific notable category or type that characterizes its significance or role.
  • C. hasCentralRelationshipType
    Indicates that there exists a primary or most significant type of relationship that characterizes how two entities are related to each other.
  • D. hasNotableRelativeGroup
    Indicates that an entity is associated with a group of relatives who are notable or significant in some recognized way.
  • E. hasNotableDescendant
    Indicates that an entity has at least one descendant who is recognized as notable or significant in some context.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd58127ed08190a04962a43afb888b completed March 20, 2026, 2:22 p.m.
PD Predicate disambiguation batch_69bd5223423c81908317351b58cff5f5 completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:09 p.m.