Triple

T4977838
Position Surface form Disambiguated ID Type / Status
Subject Thelma Schoonmaker E111811 entity
Predicate givenName P17 FINISHED
Object Thelma E79956 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: Thelma | Statement: [Thelma Schoonmaker, givenName, Thelma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thelma
Context triple: [Thelma Schoonmaker, givenName, Thelma]
  • A. Thelma chosen
    Thelma is a feminine given name of Greek origin meaning "will" or "volition," popular in English-speaking countries during the early 20th century.
  • B. Tideland
    Tideland is a dark fantasy drama film known for its surreal, disturbing portrayal of a young girl's imagination as she copes with isolation and trauma in a desolate rural setting.
  • C. Far from Heaven
    Far from Heaven is a 2002 period drama film directed by Todd Haynes that explores race, sexuality, and social norms in 1950s suburban America.
  • D. Frida
    Frida is a Swedish pop singer best known as a member of the iconic group ABBA and for her successful solo career.
  • E. Frida
    Frida is a 2002 biographical drama film about Mexican painter Frida Kahlo, noted for its vivid visual style and acclaimed performances.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7232bd8c8190b325c9198e8b2fa1 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a0634b48190acb4a1834f5647cf completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:33 p.m.