Triple

T9057399
Position Surface form Disambiguated ID Type / Status
Subject Woody Guthrie E217037 entity
Predicate spouse P13 FINISHED
Object Marlene Dietrich (error) E97654 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: Marlene Dietrich (error) | Statement: [Woody Guthrie, spouse, Marlene Dietrich (error)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlene Dietrich (error)
Context triple: [Woody Guthrie, spouse, Marlene Dietrich (error)]
  • A. Marlene Dietrich chosen
    Marlene Dietrich was a German-American actress and singer renowned for her iconic film roles, distinctive voice, and androgynous, glamorous persona in classic Hollywood cinema.
  • B. Marlene
    Marlene is a German biographical film directed by Joseph Vilsmaier about the life and career of actress and singer Marlene Dietrich.
  • C. Miriam Henreid
    Miriam Henreid is known as one of the daughters of Austrian-born actor and director Paul Henreid.
  • D. Lilli Schwarzkopf
    Lilli Schwarzkopf is a German heptathlete who won the silver medal at the 2012 London Olympic Games.
  • E. Esther Franz
    Esther Franz is a central character in Arthur Miller's play "The Price," serving as Victor Franz's pragmatic and often conflicted wife whose perspectives highlight the play's themes of sacrifice, regret, and marital strain.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7ec808bc8190957b80820d98fd5b completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0178be518819080bd6c8cf0a737e8 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:10 p.m.