Triple

T14028441
Position Surface form Disambiguated ID Type / Status
Subject Scary Movie 4 E337523 entity
Predicate starring P1507 FINISHED
Object Carmen Electra E369326 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: Carmen Electra | Statement: [Scary Movie 4, starring, Carmen Electra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmen Electra
Context triple: [Scary Movie 4, starring, Carmen Electra]
  • A. Carmen Electra chosen
    Carmen Electra is an American actress, model, singer, and television personality known for her roles in "Baywatch," parody films like "Scary Movie," and her high-profile pop culture presence since the 1990s.
  • B. Cathy Crawford
    Cathy Crawford was one of the adopted daughters of legendary Hollywood actress Joan Crawford.
  • C. Traci Lords
    Traci Lords is an American actress, singer, and former adult film star who later gained mainstream recognition through film, television, and music roles.
  • D. Meghan Payton
    Meghan Payton is the daughter of longtime NFL head coach Sean Payton and has worked as a sports media personality and reporter.
  • E. Chrissie Todd
    Chrissie Todd is a central character in the British television drama "Boys from the Blackstuff," representing the struggles of working-class life and unemployment in early 1980s Liverpool.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc335a474819084c310b10e0ded9a completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.