Triple

T6185336
Position Surface form Disambiguated ID Type / Status
Subject Velvet Brown E138040 entity
Predicate portrayedBy P1507 FINISHED
Object Nanette Newman E579660 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: Nanette Newman | Statement: [Velvet Brown, portrayedBy, Nanette Newman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanette Newman
Context triple: [Velvet Brown, portrayedBy, Nanette Newman]
  • A. Nanette Newman chosen
    Nanette Newman is an English actress and author known for her roles in British cinema and television from the 1950s onward, as well as for her long collaboration with director Bryan Forbes.
  • B. Leslie Newman
    Leslie Newman is a screenwriter best known for co-writing several of the Christopher Reeve-era Superman films, including Superman III.
  • C. Marion Rothman
    Marion Rothman was an American film editor known for her work on notable films of the 1960s and 1970s, including the crime thriller "The Boston Strangler."
  • D. Haddie Braverman
    Haddie Braverman is a teenage member of the Braverman family on the television drama "Parenthood," known for her coming-of-age storylines involving family, relationships, and personal growth.
  • E. Rachel Marron
    Rachel Marron is a famous pop singer and actress who becomes the client and love interest of a former Secret Service agent in the romantic thriller film "The Bodyguard."
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062150fc48190877240abe6b6c636 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518f798d8819080f5dc1bb988b3df completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:19 p.m.