Triple

T11794715
Position Surface form Disambiguated ID Type / Status
Subject Fables E280474 entity
Predicate mainCharacter P1183 FINISHED
Object Boy Blue
Boy Blue is a central character in the "Fables" comic series, portrayed as a seemingly mild-mannered office worker who is actually a brave, resourceful hero with a storied past in the Homelands.
 E947013 NE FINISHED

How this triple was built (4 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: Boy Blue | Statement: [Fables, mainCharacter, Boy Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boy Blue
Context triple: [Fables, mainCharacter, Boy Blue]
  • A. Mr. Blue
    Mr. Blue is the cold, calculating leader of the hijackers who seize a New York City subway train in the thriller "The Taking of Pelham One Two Three."
  • B. Girl Blue
    "Girl Blue" is a soulful, jazz-inflected R&B song by Stevie Wonder from his acclaimed 1972 album *Music of My Mind*.
  • C. Old Blue
    "Old Blue" is a traditional folk song popularized by American singer Joan Baez on her album "Joan Baez, Vol. 2."
  • D. Old Blue
    Old Blue was the last remaining fertile female Chatham Island black robin whose breeding success in the 1980s saved her species from near extinction.
  • E. The Boy
    The Boy is a 2016 American horror film about a young woman hired to nanny a lifelike doll that may be supernaturally alive.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Boy Blue
Triple: [Fables, mainCharacter, Boy Blue]
Generated description
Boy Blue is a central character in the "Fables" comic series, portrayed as a seemingly mild-mannered office worker who is actually a brave, resourceful hero with a storied past in the Homelands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boy Blue
Target entity description: Boy Blue is a central character in the "Fables" comic series, portrayed as a seemingly mild-mannered office worker who is actually a brave, resourceful hero with a storied past in the Homelands.
  • A. Mr. Blue
    Mr. Blue is the cold, calculating leader of the hijackers who seize a New York City subway train in the thriller "The Taking of Pelham One Two Three."
  • B. Girl Blue
    "Girl Blue" is a soulful, jazz-inflected R&B song by Stevie Wonder from his acclaimed 1972 album *Music of My Mind*.
  • C. Old Blue
    "Old Blue" is a traditional folk song popularized by American singer Joan Baez on her album "Joan Baez, Vol. 2."
  • D. Old Blue
    Old Blue was the last remaining fertile female Chatham Island black robin whose breeding success in the 1980s saved her species from near extinction.
  • E. The Boy
    The Boy is a 2016 American horror film about a young woman hired to nanny a lifelike doll that may be supernaturally alive.
  • F. None of above. chosen

Provenance (5 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a082d08190a42541396a06ed98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09115c66c8190b0a3e775bdf575c1 completed April 28, 2026, 10:51 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.