Triple

T17217570
Position Surface form Disambiguated ID Type / Status
Subject The Man with the Golden Gun (film) E417890 entity
Predicate themeSongPerformer P9648 FINISHED
Object Lulu
Lulu is a Scottish singer and actress best known for her powerful pop vocals and hits like "To Sir with Love" and "Shout."
 E1258341 NE FINISHED

How this triple was built (4 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: [The Man with the Golden Gun (film), themeSongPerformer, Lulu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lulu
Context triple: [The Man with the Golden Gun (film), themeSongPerformer, Lulu]
  • A. Lulu
    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 an avant-garde opera by Alban Berg, a key work of early 20th-century modernist music associated with the Second Viennese School.
  • E. Lulu
    Lulu is the central character in Harold Pinter’s play "The Birthday Party," around whom the play’s unsettling and ambiguous events revolve.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lulu
Triple: [The Man with the Golden Gun (film), themeSongPerformer, Lulu]
Generated description
Lulu is a Scottish singer and actress best known for her powerful pop vocals and hits like "To Sir with Love" and "Shout."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lulu
Target entity description: Lulu is a Scottish singer and actress best known for her powerful pop vocals and hits like "To Sir with Love" and "Shout."
  • A. Lulu
    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 the central character in Harold Pinter’s play "The Birthday Party," around whom the play’s unsettling and ambiguous events revolve.
  • D. 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.
  • E. Lulu
    Lulu is a fictional character best known from the Japanese film "Swallowtail Butterfly," in which she is portrayed by actress Ayumi Ito.
  • F. None of above. chosen

Provenance (5 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddb2b148190b3b50572cc285e3d completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01675381a0819094ed04eac636440b completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016b8609dc8190bfd3e1b6ff715d65 completed May 11, 2026, 5:39 a.m.
NED2 Entity disambiguation (via description) batch_6a016c5018e48190974c124c3433bcc6 completed May 11, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:38 a.m.