Triple

T11521288
Position Surface form Disambiguated ID Type / Status
Subject Estelle Harris E273166 entity
Predicate characterRole P268 FINISHED
Object Old Lady Bear
Old Lady Bear is a minor animated character voiced by Estelle Harris, known for her distinctive, comedic elderly persona.
 E930017 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: Old Lady Bear | Statement: [Estelle Harris, characterRole, Old Lady Bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Old Lady Bear
Context triple: [Estelle Harris, characterRole, Old Lady Bear]
  • A. Old Bear
    Old Bear was a Native American war leader known for commanding Indigenous forces during the 1876 Battle of the Powder River in the Great Sioux War.
  • B. Mellie the Bear
    Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
  • C. Boomer the Bear
    Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
  • D. Bear and His Daughter
    Bear and His Daughter is a collection of short stories by American author Robert Stone that explores themes of moral ambiguity, disillusionment, and spiritual crisis in contemporary life.
  • E. Marigold the Bear
    Marigold the Bear is one of the costumed spirit mascots representing Baylor University's athletic teams.
  • 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: Old Lady Bear
Triple: [Estelle Harris, characterRole, Old Lady Bear]
Generated description
Old Lady Bear is a minor animated character voiced by Estelle Harris, known for her distinctive, comedic elderly persona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Old Lady Bear
Target entity description: Old Lady Bear is a minor animated character voiced by Estelle Harris, known for her distinctive, comedic elderly persona.
  • A. Old Bear
    Old Bear was a Native American war leader known for commanding Indigenous forces during the 1876 Battle of the Powder River in the Great Sioux War.
  • B. Mellie the Bear
    Mellie the Bear is the mascot of Pauli Murray College, one of Yale University's residential colleges.
  • C. Boomer the Bear
    Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
  • D. Bear and His Daughter
    Bear and His Daughter is a collection of short stories by American author Robert Stone that explores themes of moral ambiguity, disillusionment, and spiritual crisis in contemporary life.
  • E. Marigold the Bear
    Marigold the Bear is one of the costumed spirit mascots representing Baylor University's athletic teams.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd129c88190893b95222480e04a completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62551a36081908ef6418fe8e2155c completed April 20, 2026, 1:08 p.m.
NEDg Description generation batch_69e62cf5b9988190bc1935993f0111f7 completed April 20, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69e66433ddb48190994bb1160b0ff732 completed April 20, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:36 p.m.