Triple

T23375736
Position Surface form Disambiguated ID Type / Status
Subject Flesh and Blood E593599 entity
Predicate followedBy P78 FINISHED
Object Avalon NE NERFINISHED

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: Avalon | Statement: [Flesh and Blood, followedBy, Avalon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avalon
Context triple: [Flesh and Blood, followedBy, Avalon]
  • A. Avalon
    Avalon is a full-size sedan produced by Toyota, known for its comfort, reliability, and upscale features.
  • B. Avalon
    Avalon is a federal electoral district in Newfoundland and Labrador, Canada, represented in the House of Commons.
  • C. Avalon
    "Avalon" is a 1990 American drama film chronicling the experiences and generational conflicts of a Jewish immigrant family in mid-20th-century Baltimore.
  • D. Avalon
    "Avalon" is a popular jazz standard from the early 20th century that became widely known through swing-era performances and recordings.
  • E. Avalon chosen
    "Avalon" is a 1982 art rock album by Roxy Music, widely regarded as one of their most polished and influential works.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b2fe9081909cc002abe50dad2a completed April 29, 2026, 6:22 a.m.
Created at: April 17, 2026, 5:33 p.m.