Triple

T15577021
Position Surface form Disambiguated ID Type / Status
Subject Elvira Lind E374394 entity
Predicate produced P490 FINISHED
Object Bobbi Jene E1164692 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: Bobbi Jene | Statement: [Elvira Lind, produced, Bobbi Jene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bobbi Jene
Context triple: [Elvira Lind, produced, Bobbi Jene]
  • A. Bobbi Jene chosen
    Bobbi Jene is a 2017 documentary film that follows American dancer Bobbi Jene Smith’s personal and professional journey as she leaves Israel’s Batsheva Dance Company to pursue her own work in the United States.
  • B. Bobbi
    Bobbi is the given name of Bobbi Kristina Brown, the late daughter of singers Whitney Houston and Bobby Brown.
  • C. Barbara Jean
    Barbara Jean is a feminine given name commonly used in English-speaking countries, combining the names Barbara and Jean.
  • D. Bobbie
    Bobbie is the nickname of Bobbie Rosenfeld, a celebrated Canadian track and field athlete and Olympic gold medalist.
  • E. Bobbie
    Bobbie is a character in the 1971 drama film "Carnal Knowledge," which explores the evolving sexual and emotional relationships of two college friends over several decades.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e22c89081909b1ec0cd36a1ef45 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f30e48881908b30a71796fe0d72 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:11 a.m.