Triple

T20211729
Position Surface form Disambiguated ID Type / Status
Subject Lulu Popplewell E493501 entity
Predicate givenName P17 FINISHED
Object Lulu 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: Lulu | Statement: [Lulu Popplewell, givenName, Lulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lulu
Context triple: [Lulu Popplewell, givenName, Lulu]
  • A. Lulu chosen
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • B. Lulu
    Lulu is a central character in the 1999 British cult film "Human Traffic," which explores the lives and clubbing culture of young people in Cardiff.
  • C. Lulu
    Lulu is a fictional character best known from the Japanese film "Swallowtail Butterfly," in which she is portrayed by actress Ayumi Ito.
  • D. Lulu
    Lulu is a Scottish singer and actress best known for her powerful pop vocals and hits like "To Sir with Love" and "Shout."
  • E. Lulu
    Lulu is an avant-garde opera by Alban Berg, a key work of early 20th-century modernist music associated with the Second Viennese School.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed627f48190a8ba638b85977af3 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.