Triple

T17171459
Position Surface form Disambiguated ID Type / Status
Subject Everybody Say Yeah E416743 entity
Predicate performerRoleInMusical P42172 FINISHED
Object Lola E894972 NE FINISHED

How this triple was built (3 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: Lola | Statement: [Everybody Say Yeah, performerRoleInMusical, Lola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lola
Context triple: [Everybody Say Yeah, performerRoleInMusical, Lola]
  • A. Lola
    Lola is a fictional character portrayed by British actor Chiwetel Ejiofor.
  • B. Lola
    Lola is a 1981 West German drama film directed by Rainer Werner Fassbinder, in which Armin Mueller-Stahl plays a prominent role in a story set in postwar Germany.
  • C. Lola
    "Lola" is a 1970 rock song by The Kinks, famous for its catchy melody and narrative about a romantic encounter that plays with themes of gender identity and ambiguity.
  • D. Lola
    Lola is a lethal, acrobatic henchwoman and primary antagonist in the action film "Transporter 2," known for her distinctive red attire and high-impact fight scenes.
  • E. Lola chosen
    Lola is the seductive, devilish femme fatale character in the musical "Damn Yankees," known for her show-stopping number "Whatever Lola Wants."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: performerRoleInMusical
Context triple: [Everybody Say Yeah, performerRoleInMusical, Lola]
  • A. musicalRole
    Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
  • B. playsInRole chosen
    Indicates that an entity performs or appears in a specific role within a production, event, or context.
  • C. typicalPerformerRoleType
    Indicates the usual or characteristic role type that a performer commonly plays or is associated with in their performances.
  • D. musicSceneRole
    Indicates the specific function or position an entity holds within a particular music scene or musical community.
  • E. performerCreditedAs
    Indicates that a performer is associated with a work under a specific credited name or alias.
  • F. None of above.

Provenance (4 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc097950819095631ee5679e03af completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180c5e2dc81909f843a07bbf7e41c completed May 11, 2026, 7:09 a.m.
PD Predicate disambiguation batch_69e3830d2a90819092386717dc56f0e8 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:37 a.m.