Triple

T11151211
Position Surface form Disambiguated ID Type / Status
Subject Misha E263789 entity
Predicate alsoKnownAs P39 FINISHED
Object Misha the Bear
Misha the Bear is the cheerful bear mascot created for the 1980 Moscow Summer Olympics, widely remembered for its role in the Games’ ceremonies and merchandise.
 E906941 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: Misha the Bear | Statement: [Misha, alsoKnownAs, Misha the Bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Misha the Bear
Context triple: [Misha, alsoKnownAs, Misha the Bear]
  • A. Bruno the Bear
    Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
  • B. 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."
  • C. Mellie the Bear
    Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
  • D. Marigold the Bear
    Marigold the Bear is one of the costumed spirit mascots representing Baylor University's athletic teams.
  • E. Tim the Bear
    Tim the Bear is a talking anthropomorphic bear and one of the main characters on the animated TV series "The Cleveland Show."
  • 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: Misha the Bear
Triple: [Misha, alsoKnownAs, Misha the Bear]
Generated description
Misha the Bear is the cheerful bear mascot created for the 1980 Moscow Summer Olympics, widely remembered for its role in the Games’ ceremonies and merchandise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Misha the Bear
Target entity description: Misha the Bear is the cheerful bear mascot created for the 1980 Moscow Summer Olympics, widely remembered for its role in the Games’ ceremonies and merchandise.
  • A. Bruno the Bear
    Bruno the Bear is the costumed bear mascot that represents Brown University at its athletic events and school functions.
  • B. 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."
  • C. Mellie the Bear
    Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
  • D. Marigold the Bear
    Marigold the Bear is one of the costumed spirit mascots representing Baylor University's athletic teams.
  • E. Tim the Bear
    Tim the Bear is a talking anthropomorphic bear and one of the main characters on the animated TV series "The Cleveland Show."
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8719e74819095413abc6c79296c completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4422ca62c81909a3a935fb7e28c34 completed April 19, 2026, 2:47 a.m.
NEDg Description generation batch_69e44c0a9edc8190a184244ba63f1c8f completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4513731fc8190be0bae62d1e16e6f completed April 19, 2026, 3:51 a.m.
Created at: April 8, 2026, 9:28 p.m.