Triple

T7047043
Position Surface form Disambiguated ID Type / Status
Subject Maye Musk E163661 entity
Predicate sibling P363 FINISHED
Object Lynne Haldeman E163661 NE 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: Lynne Haldeman | Statement: [Maye Musk, sibling, Lynne Haldeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynne Haldeman
Context triple: [Maye Musk, sibling, Lynne Haldeman]
  • A. Lynne Haldeman chosen
    Lynne Haldeman is a member of the Musk family and the sister of model and dietitian Maye Musk, making her an aunt of entrepreneur Elon Musk.
  • B. Lynne Hollander
    Lynne Hollander is an American activist best known for her involvement in the 1960s Free Speech Movement at UC Berkeley and her longtime partnership with fellow activist Mario Savio.
  • C. Lynn Varley
    Lynn Varley is an American comic book colorist best known for her influential, atmospheric coloring work on Frank Miller’s graphic novels, including "The Dark Knight Returns" and "300."
  • D. Patricia Dane
    Patricia Dane was an American film actress of the 1940s who appeared in several MGM productions and was briefly married to bandleader Tommy Dorsey.
  • E. Lynne Overman
    Lynne Overman was an American character actor of the 1930s and 1940s, known for his supporting roles in Hollywood films and his distinctive, wisecracking screen persona.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e23a72f481909ce77ef73b06ea95 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a1f8da648190987fad6e37620cef completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 2:37 p.m.