Triple

T6827105
Position Surface form Disambiguated ID Type / Status
Subject Luka and the Fire of Life E157042 entity
Predicate character P662 FINISHED
Object Dog the bear
Dog the bear is a fictional animal companion character from Salman Rushdie’s novel "Luka and the Fire of Life."
E623362 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: Dog the bear | Statement: [Luka and the Fire of Life, character, Dog the bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dog the bear
Context triple: [Luka and the Fire of Life, character, Dog the bear]
  • A. Bear the dog
    Bear the dog is a fictional canine companion character from Salman Rushdie’s fantasy novel "Luka and the Fire of Life."
  • B. Buck the bear
    Buck the bear is the trained bear who portrayed the titular animal character in the television series "Gentle Ben."
  • C. Boomer the Bear
    Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
  • D. Ben the bear
    Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
  • E. Bruiser the Bear
    Bruiser the Bear is the costumed bear mascot who represents Baylor University’s athletic teams and school spirit.
  • 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: Dog the bear
Triple: [Luka and the Fire of Life, character, Dog the bear]
Generated description
Dog the bear is a fictional animal companion character from Salman Rushdie’s novel "Luka and the Fire of Life."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dog the bear
Target entity description: Dog the bear is a fictional animal companion character from Salman Rushdie’s novel "Luka and the Fire of Life."
  • A. Bear the dog
    Bear the dog is a fictional canine companion character from Salman Rushdie’s fantasy novel "Luka and the Fire of Life."
  • B. Buck the bear
    Buck the bear is the trained bear who portrayed the titular animal character in the television series "Gentle Ben."
  • C. Boomer the Bear
    Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
  • D. Ben the bear
    Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
  • E. Bruiser the Bear
    Bruiser the Bear is the costumed bear mascot who represents Baylor University’s athletic teams and school spirit.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d58583a4819099edbf753c7c7087 completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fa6fc80819081f012ea2207c25a completed March 28, 2026, 1:32 a.m.
NEDg Description generation batch_69c7313f9df08190b0184ade01037193 completed March 28, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_69c731a2d3fc81908fc90a9f9860311b completed March 28, 2026, 1:40 a.m.
Created at: March 27, 2026, 2:18 p.m.