Triple

T14268053
Position Surface form Disambiguated ID Type / Status
Subject Nelson Eddy E353701 entity
Predicate notableWork P4 FINISHED
Object The Firefly (radio adaptation) E342777 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: The Firefly (radio adaptation) | Statement: [Nelson Eddy, notableWork, The Firefly (radio adaptation)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Firefly (radio adaptation)
Context triple: [Nelson Eddy, notableWork, The Firefly (radio adaptation)]
  • A. Firefly Summer
    Firefly Summer is a bestselling novel by Irish author Maeve Binchy that portrays the transformative impact of a wealthy American developer on a small Irish village and its close-knit community.
  • B. The Firefly chosen
    The Firefly is a 1912 operetta by composer Rudolf Friml, best known for its romantic score and songs like "Giannina Mia."
  • C. Firefly
    Firefly is a cult-favorite science fiction television series created by Joss Whedon that blends space opera with Western themes and follows the ragtag crew of the spaceship Serenity.
  • D. Firefly
    Firefly is a Malaysian regional airline known for operating short-haul flights, often using turboprop aircraft to connect secondary cities and communities.
  • E. Firefly
    Firefly is an Amazon-developed visual and audio recognition feature that lets users quickly identify products, media, and other real-world items using a smartphone camera or microphone.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6358c2288190ac1fd26e688a605d completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32682a0481908918570a778e185a completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.