Triple

T15201186
Position Surface form Disambiguated ID Type / Status
Subject Rupert Bear E363270 entity
Predicate hasParent P120 FINISHED
Object Mr Bear
Mr Bear is a fictional anthropomorphic bear character who appears as Rupert Bear’s father in the long-running British children’s comic and stories.
E1144252 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: Mr Bear | Statement: [Rupert Bear, hasParent, Mr Bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr Bear
Context triple: [Rupert Bear, hasParent, Mr Bear]
  • A. 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."
  • B. Joe Bear
    Joe Bear is the costumed bear mascot that represents Lenoir–Rhyne University at its athletic events and campus activities.
  • C. Boomer the Bear
    Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
  • D. Bart the Bear
    Bart the Bear was a famous trained Kodiak bear actor known for his prominent roles in Hollywood films and television.
  • E. Mellie the Bear
    Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
  • 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: Mr Bear
Triple: [Rupert Bear, hasParent, Mr Bear]
Generated description
Mr Bear is a fictional anthropomorphic bear character who appears as Rupert Bear’s father in the long-running British children’s comic and stories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mr Bear
Target entity description: Mr Bear is a fictional anthropomorphic bear character who appears as Rupert Bear’s father in the long-running British children’s comic and stories.
  • A. 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."
  • B. Joe Bear
    Joe Bear is the costumed bear mascot that represents Lenoir–Rhyne University at its athletic events and campus activities.
  • C. Boomer the Bear
    Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
  • D. Bart the Bear
    Bart the Bear was a famous trained Kodiak bear actor known for his prominent roles in Hollywood films and television.
  • E. Mellie the Bear
    Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b588b88190a88e91d521acbdfe completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3363f688190a5c728846bea743a completed May 9, 2026, 6:24 a.m.
NEDg Description generation batch_69fed76d6a888190b44efa490df4b6d0 completed May 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69feda443c64819087cb16ce742e7cc5 completed May 9, 2026, 6:55 a.m.
Created at: April 10, 2026, 3:10 a.m.