Triple

T1576391
Position Surface form Disambiguated ID Type / Status
Subject Paulette Goddard E33661 entity
Predicate name P16 FINISHED
Object Paulette Goddard E33661 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: Paulette Goddard | Statement: [Paulette Goddard, name, Paulette Goddard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paulette Goddard
Context triple: [Paulette Goddard, name, Paulette Goddard]
  • A. Paulette Goddard chosen
    Paulette Goddard was an American film actress and former Ziegfeld girl best known for her roles in several 1930s and 1940s Hollywood films, including multiple collaborations with Charlie Chaplin.
  • B. Teri Garr
    Teri Garr is an American actress known for her versatile performances in films such as "Young Frankenstein," "Close Encounters of the Third Kind," and "Tootsie."
  • C. Cindy Williams
    Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
  • D. Gloria Rudisch
    Gloria Rudisch is an American pediatrician and public health official best known as the wife of artificial intelligence pioneer Marvin Minsky.
  • E. Lindsay Crouse
    Lindsay Crouse is an American actress known for her work in film, television, and theater, including an Academy Award–nominated role in "Places in the Heart."
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908d400c08190b0f5fc32ad500b80 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad680b40908190acf505992848dae9 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:27 p.m.