Triple

T5079988
Position Surface form Disambiguated ID Type / Status
Subject Animal Crossing E114488 entity
Predicate notableCharacter P1481 FINISHED
Object Sable
Sable is a shy, hard-working hedgehog in the Animal Crossing series who runs the Able Sisters tailor shop and gradually opens up to the player through daily conversations.
 E492972 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: Sable | Statement: [Animal Crossing, notableCharacter, Sable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sable
Context triple: [Animal Crossing, notableCharacter, Sable]
  • A. Sable
    Sable is a former professional wrestling valet, model, and WWE Diva best known for her prominent role in the WWF/WWE during the late 1990s.
  • B. Badger
    Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
  • C. Badger
    Badger is the NATO reporting name for the Soviet-era Tupolev Tu-16, a twin-engine jet strategic bomber widely used during the Cold War.
  • D. Badger
    Badger is a fictional character appearing in the work "The Return of Ulysses."
  • E. Rusa unicolor
    Rusa unicolor, commonly known as the sambar deer, is a large, dark-coated deer native to the Indian subcontinent, southern China, and Southeast Asia.
  • 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: Sable
Triple: [Animal Crossing, notableCharacter, Sable]
Generated description
Sable is a shy, hard-working hedgehog in the Animal Crossing series who runs the Able Sisters tailor shop and gradually opens up to the player through daily conversations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sable
Target entity description: Sable is a shy, hard-working hedgehog in the Animal Crossing series who runs the Able Sisters tailor shop and gradually opens up to the player through daily conversations.
  • A. Sable
    Sable is a former professional wrestling valet, model, and WWE Diva best known for her prominent role in the WWF/WWE during the late 1990s.
  • B. Badger
    Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
  • C. Badger
    Badger is the NATO reporting name for the Soviet-era Tupolev Tu-16, a twin-engine jet strategic bomber widely used during the Cold War.
  • D. Badger
    Badger is a fictional character appearing in the work "The Return of Ulysses."
  • E. Rusa unicolor
    Rusa unicolor, commonly known as the sambar deer, is a large, dark-coated deer native to the Indian subcontinent, southern China, and Southeast Asia.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f86c988190aa026073ed435a45 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb1303bc4819084e0270a8ff97aec completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb1dd68cc819080f5326972059995 completed March 21, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_69beb26a849c819096161ed3b4d30ec6 completed March 21, 2026, 2:59 p.m.
Created at: March 20, 2026, 1:39 p.m.