Triple

T18782865
Position Surface form Disambiguated ID Type / Status
Subject Suzanne Collins E459302 entity
Predicate wroteFor P1996 FINISHED
Object Little Bear
Little Bear is a classic children's book series created by Else Holmelund Minarik and illustrated by Maurice Sendak, following the gentle adventures of a young bear and his family.
 E1342558 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: Little Bear | Statement: [Suzanne Collins, wroteFor, Little Bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Little Bear
Context triple: [Suzanne Collins, wroteFor, Little Bear]
  • A. Little Bear
    Little Bear is a tiny Iroquois warrior who comes to life from a toy figure in the children's fantasy novel "The Indian in the Cupboard."
  • B. Little Bear
    Little Bear is a film production company known for its involvement in notable French cinema projects.
  • C. Big Blue Bear
    Big Blue Bear is a famous large blue bear sculpture that peers into the windows of the Colorado Convention Center in Denver, Colorado.
  • D. Boo-Boo Bear
    Boo-Boo Bear is a gentle, bow-tie-wearing cartoon bear best known as Yogi Bear’s loyal sidekick in the classic Hanna-Barbera animated series.
  • E. The Three Bears
    The Three Bears is a classic English fairy tale about a family of three bears whose home is visited by the curious girl Goldilocks.
  • 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: Little Bear
Triple: [Suzanne Collins, wroteFor, Little Bear]
Generated description
Little Bear is a classic children's book series created by Else Holmelund Minarik and illustrated by Maurice Sendak, following the gentle adventures of a young bear and his family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Little Bear
Target entity description: Little Bear is a classic children's book series created by Else Holmelund Minarik and illustrated by Maurice Sendak, following the gentle adventures of a young bear and his family.
  • A. Little Bear
    Little Bear is a film production company known for its involvement in notable French cinema projects.
  • B. Little Bear
    Little Bear is a tiny Iroquois warrior who comes to life from a toy figure in the children's fantasy novel "The Indian in the Cupboard."
  • C. Big Blue Bear
    Big Blue Bear is a famous large blue bear sculpture that peers into the windows of the Colorado Convention Center in Denver, Colorado.
  • D. Boo-Boo Bear
    Boo-Boo Bear is a gentle, bow-tie-wearing cartoon bear best known as Yogi Bear’s loyal sidekick in the classic Hanna-Barbera animated series.
  • E. The Three Bears
    The Three Bears is a classic English fairy tale about a family of three bears whose home is visited by the curious girl Goldilocks.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5977d7c5c8190ab2aadb47283965d completed April 20, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a054718db388190aa9beeffa47486d5 completed May 14, 2026, 3:52 a.m.
NEDg Description generation batch_6a05494df63081909b1f6d64ae3a949b completed May 14, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0549acb4c88190adc1ffbd00d66ce7 completed May 14, 2026, 4:03 a.m.
Created at: April 10, 2026, 11:52 a.m.