Triple

T9433722
Position Surface form Disambiguated ID Type / Status
Subject Thelma Evans E227448 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 Evans, givenName, Thelma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thelma
Context triple: [Thelma Evans, 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. Gothika
    Gothika is a 2003 supernatural psychological horror film starring Halle Berry as a criminal psychologist who becomes a patient in her own mental institution after a mysterious, possibly paranormal incident.
  • D. 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.
  • E. Frida
    Frida is a Swedish pop singer best known as a member of the iconic group ABBA and for her successful solo 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e62d53c81908055e0967e6cd54d completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104514d481908d7cb9a87a01f1e2 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:49 p.m.