Triple

T18079243
Position Surface form Disambiguated ID Type / Status
Subject Yvonne Little E432641 entity
Predicate sibling P363 FINISHED
Object Wilfred Little 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: Wilfred Little | Statement: [Yvonne Little, sibling, Wilfred Little]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilfred Little
Context triple: [Yvonne Little, sibling, Wilfred Little]
  • A. Wilfred Little chosen
    Wilfred Little was one of the children of Louise Little and a sibling of Malcolm X, belonging to the family central to the civil rights leader’s early life.
  • B. Wilfred Harper
    Wilfred Harper is a fictional character appearing in the work titled "The Masks."
  • C. Aaron Littleton
    Aaron Littleton is a fictional child character from the television series "Lost," notable as the baby of Claire Littleton who becomes closely cared for by Charlie Pace.
  • D. Johnny Littlejohn
    Johnny Littlejohn is a scholarly geologist and archaeologist who serves as one of Doc Savage’s loyal and brainy adventuring aides in the classic pulp fiction series.
  • E. Henry Wills
    Henry Wills is an actor known for his role in the film "Crashing Towers."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f81ff08190b7465e3c5568aa59 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.