Triple

T2643134
Position Surface form Disambiguated ID Type / Status
Subject Mole E62920 entity
Predicate closeFriendOf P8712 FINISHED
Object 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.
 E285185 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: Badger | Statement: [Mole, closeFriendOf, Badger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Badger
Context triple: [Mole, closeFriendOf, Badger]
  • A. Badgers
    Badgers is the nickname for the athletic teams representing the University of Wisconsin–Madison in collegiate sports.
  • B. Porcupine
    Porcupine is a historic mining community and neighborhood within the city of Timmins in northeastern Ontario, Canada.
  • C. Wolf
    Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
  • D. Wolf
    Wolf is a song by American singer Miguel from his album "War & Leisure."
  • E. Wolf
    Wolf is a 2013 studio album by American rapper and producer Tyler, the Creator, known for its eclectic production and introspective, narrative-driven lyrics.
  • 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: Badger
Triple: [Mole, closeFriendOf, Badger]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Badger
Target entity description: 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.
  • A. Badgers
    Badgers is the nickname for the athletic teams representing the University of Wisconsin–Madison in collegiate sports.
  • B. Porcupine
    Porcupine is a historic mining community and neighborhood within the city of Timmins in northeastern Ontario, Canada.
  • C. Wolf
    Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
  • D. Wolf
    Wolf is a song by American singer Miguel from his album "War & Leisure."
  • E. Wolf
    Wolf is a 2013 studio album by American rapper and producer Tyler, the Creator, known for its eclectic production and introspective, narrative-driven lyrics.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8ff34988190ba9d69ce9d77c71d completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c2bde8819085fbe1e5221be88d completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af992fafc88190a95b09b7aebeb5a9 completed March 10, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_69af9983ff8881909273212c6fc6a218 completed March 10, 2026, 4:09 a.m.
Created at: March 6, 2026, 9:53 p.m.