Triple

T6131065
Position Surface form Disambiguated ID Type / Status
Subject Margaret O'Brien E136718 entity
Predicate name P16 FINISHED
Object Margaret O'Brien E136718 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: Margaret O'Brien | Statement: [Margaret O'Brien, name, Margaret O'Brien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret O'Brien
Context triple: [Margaret O'Brien, name, Margaret O'Brien]
  • A. Margaret O'Brien chosen
    Margaret O'Brien is an American former child actress best known for her acclaimed performances in 1940s films such as "Meet Me in St. Louis."
  • B. Colleen Moore
    Colleen Moore was a popular American silent film actress best known for her flapper roles in the 1920s, which helped define the era’s modern screen heroine.
  • C. Lulie Swanson
    Lulie Swanson was the woman who served as the sponsor for the U.S. Navy aircraft carrier USS Enterprise (CV-6) at its launching ceremony.
  • D. Dorothy Lamour
    Dorothy Lamour was an American actress and singer best known for her roles in the "Road to..." comedy films alongside Bing Crosby and Bob Hope.
  • E. ZaSu Pitts
    ZaSu Pitts was an American actress known for her distinctive comedic persona and expressive features, who appeared in both silent films and talkies throughout a long Hollywood career.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4de9c48190b98f67a6251ec1df completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d5f60848190bd75dfefa27b3315 completed March 24, 2026, 4:04 a.m.
Created at: March 22, 2026, 4:15 p.m.