Triple

T35556466
Position Surface form Disambiguated ID Type / Status
Subject Francis Whitman E1027509 entity
Predicate siblingRelationshipWith P363 FINISHED
Object Peter Whitman NE NERFINISHED

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: Peter Whitman | Statement: [Francis Whitman, siblingRelationshipWith, Peter Whitman]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: siblingRelationshipWith
Context triple: [Francis Whitman, siblingRelationshipWith, Peter Whitman]
  • A. siblingOrRelative
    Indicates that two entities are related to each other by blood, marriage, or family ties, including but not limited to being siblings.
  • B. sibling chosen
    Indicates that two entities share at least one parent, making them brothers or sisters to each other.
  • C. hasSisterRelationshipType
    Indicates that there exists a sister-type familial relationship between the related entities.
  • D. relationshipToYoungerFamily
    Indicates a familial relationship where one person is related to another who is younger in age within the family.
  • E. showsRelationshipWith
    Indicates that one entity visually or explicitly presents or demonstrates its connection or association with another entity.
  • 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_69f76e014fd481909e9f04ac603a2aa9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79a54aa3c8190b2bb5d790b2d42d4 completed May 3, 2026, 6:56 p.m.
PD Predicate disambiguation batch_69f7961970408190b669cc556e30a608 completed May 3, 2026, 6:38 p.m.
Created at: May 3, 2026, 4:04 p.m.