Triple

T15452875
Position Surface form Disambiguated ID Type / Status
Subject Jim Harrison E371694 entity
Predicate notableWork P4 FINISHED
Object Wolf
"Wolf" is a 1971 semi-autobiographical novel by American author Jim Harrison that blends wilderness adventure with introspective exploration of identity and survival.
E1157754 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: [Jim Harrison, notableWork, Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolf
Context triple: [Jim Harrison, notableWork, Wolf]
  • 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 a 2013 studio album by American rapper and producer Tyler, the Creator, known for its eclectic production and introspective, narrative-driven lyrics.
  • C. 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."
  • D. Wolf
    "Wolf" is a 1994 American horror-romance film starring Jack Nicholson and Michelle Pfeiffer, blending werewolf mythology with corporate drama.
  • E. Wolf
    Wolf is the silent, one-armed shinobi protagonist of the action-adventure video game Sekiro: Shadows Die Twice.
  • 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: [Jim Harrison, notableWork, Wolf]
Generated description
"Wolf" is a 1971 semi-autobiographical novel by American author Jim Harrison that blends wilderness adventure with introspective exploration of identity and survival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wolf
Target entity description: "Wolf" is a 1971 semi-autobiographical novel by American author Jim Harrison that blends wilderness adventure with introspective exploration of identity and survival.
  • 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 a 1994 American horror-romance film starring Jack Nicholson and Michelle Pfeiffer, blending werewolf mythology with corporate drama.
  • 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 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 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f131b1481909ff099c3b844ee07 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b3c5a481908057e94fd84f3cfc completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff23e23b6c81909148a3bbb7288f04 completed May 9, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_69ff24c8c43c81909a972dca1ed3cd36 completed May 9, 2026, 12:12 p.m.
Created at: April 10, 2026, 3:30 a.m.