Triple

T8351547
Position Surface form Disambiguated ID Type / Status
Subject Radio Days E196169 entity
Predicate featuresCharacter P626 FINISHED
Object Bea unclear NED1 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: Bea | Statement: [Radio Days, featuresCharacter, Bea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bea
Context triple: [Radio Days, featuresCharacter, Bea]
  • A. Bea
    Bea is a common diminutive form of the given name Beatrice, often used as a familiar or affectionate nickname.
  • B. Bebe
    Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
  • C. Bebe
    Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
  • D. Becca
    Becca is a central character in the 2015 horror film "The Visit," a teenage girl who documents her and her brother’s unsettling stay with their estranged grandparents.
  • E. Becky
    Becky is a common English feminine given name, typically used as a diminutive of Rebecca.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8019fb308190a3edc744bd473a5b completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc75623488190be3303f5e75784e8 completed April 2, 2026, 1:33 a.m.
Created at: March 30, 2026, 5:59 p.m.