Triple

T21526836
Position Surface form Disambiguated ID Type / Status
Subject The Makeover E531118 entity
Predicate stars P1956 FINISHED
Object Camryn Manheim 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: Camryn Manheim | Statement: [The Makeover, stars, Camryn Manheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camryn Manheim
Context triple: [The Makeover, stars, Camryn Manheim]
  • A. Camryn Manheim chosen
    Camryn Manheim is an American actress best known for her Emmy-winning role as attorney Ellenor Frutt on the legal drama series "The Practice."
  • B. Camryn Jones
    Camryn Jones is an American actress best known for starring as one of the four time-traveling newspaper delivery girls in the sci-fi drama series "Paper Girls."
  • C. Brynn Hartman
    Brynn Hartman was the wife of comedian and actor Phil Hartman, known primarily for her tragic involvement in his 1998 murder–suicide.
  • D. Mackenzie Mauzy
    Mackenzie Mauzy is an American actress and singer known for her work on Broadway and in film and television, including her role as Rapunzel in the 2014 musical fantasy film "Into the Woods."
  • E. Meagen Fay
    Meagen Fay is an American actress best known for her character roles in television comedies and dramas, including prominent work in sketch and ensemble series.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee88515874819085e251c0d297a587 completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.