Triple

T14213733
Position Surface form Disambiguated ID Type / Status
Subject Future Man E352293 entity
Predicate character P662 FINISHED
Object Wolf
Wolf is a brash, foul-mouthed, and often clueless time-traveling soldier who serves as one of the main comedic characters in the sci-fi TV series "Future Man."
E1086059 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 | Statement: [Future Man, character, Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolf
Context triple: [Future Man, character, Wolf]
  • A. 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.
  • B. Wolf
    "Wolf" is a 1994 American horror-romance film starring Jack Nicholson and Michelle Pfeiffer, blending werewolf mythology with corporate drama.
  • C. Wolf
    Wolf is the silent, one-armed shinobi protagonist of the action-adventure video game Sekiro: Shadows Die Twice.
  • D. Wolf
    Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
  • E. Wolf
    The Wolf is a powerful, social canine predator known for living and hunting in packs across the Northern Hemisphere.
  • 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
Triple: [Future Man, character, Wolf]
Generated description
Wolf is a brash, foul-mouthed, and often clueless time-traveling soldier who serves as one of the main comedic characters in the sci-fi TV series "Future Man."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wolf
Target entity description: Wolf is a brash, foul-mouthed, and often clueless time-traveling soldier who serves as one of the main comedic characters in the sci-fi TV series "Future Man."
  • A. Wolf
    Wolf is a central character in August Wilson’s play "Two Trains Running," known as a fast-talking numbers runner who operates out of Memphis’s diner in 1960s Pittsburgh.
  • B. Wolf
    Wolf is the silent, one-armed shinobi protagonist of the action-adventure video game Sekiro: Shadows Die Twice.
  • C. Wolf
    The Wolf is a powerful, social canine predator known for living and hunting in packs across the Northern Hemisphere.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620f07bc81909212dcd1c91b5f95 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1959f3d481909c15730bbd6f4748 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1a88fd948190b5d78a4ca4acdb94 completed May 7, 2026, 11:04 p.m.
NED2 Entity disambiguation (via description) batch_69fd1b2ed7748190b3f787f1b64c8831 completed May 7, 2026, 11:07 p.m.
Created at: April 10, 2026, 1:06 a.m.