Triple

T20518025
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Meyer E503730 entity
Predicate wrote P2831 FINISHED
Object The Canary Trainer NE NERFINISHED

How this triple was built (3 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 Canary Trainer | Statement: [Nicholas Meyer, wrote, The Canary Trainer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Canary Trainer
Context triple: [Nicholas Meyer, wrote, The Canary Trainer]
  • A. A Canary for One
    "A Canary for One" is a short story by Ernest Hemingway that explores themes of isolation, failed relationships, and cultural tension during a train journey across Europe.
  • B. A Canarinho
    A Canarinho is the popular nickname for the Brazil national football team, referencing their iconic yellow canary-colored jerseys.
  • C. The Case of the Lame Canary
    The Case of the Lame Canary is a Perry Mason detective novel by Erle Stanley Gardner featuring the famed defense attorney unraveling a complex murder mystery.
  • D. The Canary Who Could Sing But Couldn’t Fly
    "The Canary Who Could Sing But Couldn’t Fly" was the ironic underworld nickname of Abe Reles, a notorious Murder, Inc. hitman who became a key government informant against organized crime.
  • E. The Kestrel
    The Kestrel is a fantasy novel by Lloyd Alexander, part of the Westmark Trilogy, that follows a young prince drawn into the brutal realities of war and political upheaval.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Canary Trainer
Target entity description: The Canary Trainer is a Sherlock Holmes pastiche novel by Nicholas Meyer that imagines the detective crossing paths with the Phantom of the Opera.
  • A. A Canary for One
    "A Canary for One" is a short story by Ernest Hemingway that explores themes of isolation, failed relationships, and cultural tension during a train journey across Europe.
  • B. A Canarinho
    A Canarinho is the popular nickname for the Brazil national football team, referencing their iconic yellow canary-colored jerseys.
  • C. The Case of the Lame Canary
    The Case of the Lame Canary is a Perry Mason detective novel by Erle Stanley Gardner featuring the famed defense attorney unraveling a complex murder mystery.
  • D. The Canary Who Could Sing But Couldn’t Fly
    "The Canary Who Could Sing But Couldn’t Fly" was the ironic underworld nickname of Abe Reles, a notorious Murder, Inc. hitman who became a key government informant against organized crime.
  • E. The Kestrel
    The Kestrel is a fantasy novel by Lloyd Alexander, part of the Westmark Trilogy, that follows a young prince drawn into the brutal realities of war and political upheaval.
  • F. None of above. chosen

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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f43e0b08190b043f35645b264a0 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.