Triple

T6576480
Position Surface form Disambiguated ID Type / Status
Subject Eduardo Ciannelli E157175 entity
Predicate notableWork P4 FINISHED
Object Marked Woman E215010 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: Marked Woman | Statement: [Eduardo Ciannelli, notableWork, Marked Woman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marked Woman
Context triple: [Eduardo Ciannelli, notableWork, Marked Woman]
  • A. Marked Woman chosen
    Marked Woman is a 1937 American crime drama film starring Bette Davis as a nightclub hostess who challenges a powerful gangster.
  • B. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • C. Such a Woman
    "Such a Woman" is a song by Neil Young featured on his 1992 album "Harvest Moon."
  • D. The Women and The Men
    The Women and The Men is a poetry collection by Nikki Giovanni that explores themes of Black identity, gender, love, and social justice during the Black Arts Movement era.
  • E. Men Without Women
    Men Without Women is a 1927 short story collection by Ernest Hemingway that explores themes of masculinity, loss, and emotional isolation through his characteristic sparse, understated prose.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7399488190b5f6948c60188aec completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba0182c8190a30bc5e6fea4680e completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:54 p.m.