Triple

T11898766
Position Surface form Disambiguated ID Type / Status
Subject Wolf E283097 entity
Predicate hasCharacter P2308 FINISHED
Object Wolf (character)
Wolf (character) is a fictional anthropomorphic wolf commonly depicted in stories and media as a cunning or villainous figure who often serves as an antagonist.
 E952536 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: Wolf (character) | Statement: [Wolf, hasCharacter, Wolf (character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wolf (character)
Context triple: [Wolf, hasCharacter, Wolf (character)]
  • A. Wolf Grey
    Wolf Grey is a distinctive shade of gray used as one of the official team colors of the NFL's Seattle Seahawks.
  • B. Wolfie the Wolf
    Wolfie the Wolf is the cartoon wolf mascot representing Boston Latin School at its athletic and school spirit events.
  • C. Wolf
    "Wolf" is a 1994 American horror-romance film starring Jack Nicholson and Michelle Pfeiffer, blending werewolf mythology with corporate drama.
  • D. 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.
  • E. Wolf
    Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
  • 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: Wolf (character)
Triple: [Wolf, hasCharacter, Wolf (character)]
Generated description
Wolf (character) is a fictional anthropomorphic wolf commonly depicted in stories and media as a cunning or villainous figure who often serves as an antagonist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wolf (character)
Target entity description: Wolf (character) is a fictional anthropomorphic wolf commonly depicted in stories and media as a cunning or villainous figure who often serves as an antagonist.
  • A. Wolf Grey
    Wolf Grey is a distinctive shade of gray used as one of the official team colors of the NFL's Seattle Seahawks.
  • B. Wolfie the Wolf
    Wolfie the Wolf is the cartoon wolf mascot representing Boston Latin School at its athletic and school spirit events.
  • C. 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.
  • D. Wolf
    Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
  • E. Wolf
    Wolf is a song by American singer Miguel from his album "War & Leisure."
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd13cc10819089d8d5103e562924 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4182f18c08190b22706b024d60dd7 completed May 1, 2026, 3:04 a.m.
NEDg Description generation batch_69f41f1c21388190b6ecb0fd602abb7d completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f42283c4cc81909793834ef65d2514 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.