Triple

T13776455
Position Surface form Disambiguated ID Type / Status
Subject Little Mix E331018 entity
Predicate hasPart P35 FINISHED
Object Leigh-Anne Pinnock E1059750 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: Leigh-Anne Pinnock | Statement: [Little Mix, hasPart, Leigh-Anne Pinnock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leigh-Anne Pinnock
Context triple: [Little Mix, hasPart, Leigh-Anne Pinnock]
  • A. Leigh-Anne Pinnock chosen
    Leigh-Anne Pinnock is a British singer, songwriter, and actress best known as a member of the girl group Little Mix.
  • B. Charlene Mitchell
    Charlene Mitchell is a popular fictional character from the Australian soap opera "Neighbours," best known for her iconic romance with Scott Robinson and her role in the show's 1980s success.
  • C. Melanie Mills
    Melanie Mills is known as the spouse of former professional American football center Sam Mills.
  • D. Crissy Haslam
    Crissy Haslam is an American educator and former First Lady of Tennessee, known for her advocacy on literacy and children's issues during her husband Bill Haslam's governorship.
  • E. Heather Angel
    Heather Angel was a British-born actress known for her roles in 1930s and 1940s Hollywood films and for voicing characters in Disney animated classics such as "Peter Pan" and "Alice in Wonderland."
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0238bdbc8190a946e6e5431632a5 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07460c081908b3836a3ec382961 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:10 p.m.