Triple

T14060359
Position Surface form Disambiguated ID Type / Status
Subject Jean Hagen E338327 entity
Predicate notableRole P22 FINISHED
Object Lina Lamont E91871 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: Lina Lamont | Statement: [Jean Hagen, notableRole, Lina Lamont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lina Lamont
Context triple: [Jean Hagen, notableRole, Lina Lamont]
  • A. Lina Lamont chosen
    Lina Lamont is a comically vain, shrill-voiced silent film star whose struggle to adapt to talking pictures drives much of the humor and conflict in the classic musical film "Singin' in the Rain."
  • B. Lillian Lamont
    Lillian Lamont was the first wife of American actor Fred MacMurray, with whom she was married from 1936 until her death in 1953.
  • C. Lina Mayfleet
    Lina Mayfleet is a brave, resourceful young girl who becomes a key leader in uncovering the secrets of her dying underground city in the novel "The City of Ember."
  • D. Lila Norcross
    Lila Norcross is a central protagonist in Stephen King and Owen King’s novel "Sleeping Beauties," serving as a key figure navigating the chaos that erupts when women around the world fall into a mysterious sleep.
  • E. Molly Lamont
    Molly Lamont was a British-born film actress best known for her supporting roles in Hollywood comedies and dramas of the 1930s and 1940s.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5686f51c81908c33143ecbaae83d completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1930da6481908d17adc6f7bbedd4 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 10:21 p.m.