Triple

T20881998
Position Surface form Disambiguated ID Type / Status
Subject Telefon E514173 entity
Predicate title P38 FINISHED
Object Telefon 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: Telefon | Statement: [Telefon, title, Telefon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telefon
Context triple: [Telefon, title, Telefon]
  • A. Telefon chosen
    "Telefon" is a 1977 Cold War espionage thriller film starring Charles Bronson, directed by Don Siegel, about a Soviet plot involving sleeper agents in the United States.
  • B. Telefomin
    Telefomin is a remote highland town in Papua New Guinea known for its rugged terrain, traditional cultures, and limited accessibility.
  • C. Telefone
    "Telefone" is the critically acclaimed 2016 debut mixtape by Chicago rapper Noname, noted for its jazz-infused production and introspective, poetic lyricism.
  • D. telephone
    A telephone is a telecommunications device that converts sound, typically the human voice, into electrical signals for transmission over distances and back into sound at the receiving end.
  • E. Tel
    Tel is the standard three-letter astronomical abbreviation for the southern constellation Telescopium.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67a33548190b0f5ba58b001d387 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.