Triple

T22153000
Position Surface form Disambiguated ID Type / Status
Subject Wolf Rilla E547460 entity
Predicate givenName P17 FINISHED
Object Wolf
Wolf is a common given name or nickname, often associated with strength and derived from the animal of the same name.
 E154589 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: [Wolf Rilla, givenName, Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wolf
Context triple: [Wolf Rilla, givenName, 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 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."
  • C. Wolf
    "Wolf" is a 1971 semi-autobiographical novel by American author Jim Harrison that blends wilderness adventure with introspective exploration of identity and survival.
  • 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: [Wolf Rilla, givenName, Wolf]
Generated description
Wolf is a common given name or nickname, often associated with strength and derived from the animal of the same name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wolf
Target entity description: Wolf is a common given name or nickname, often associated with strength and derived from the animal of the same name.
  • A. Wolf chosen
    Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
  • B. Wolf
    The Wolf is a powerful, social canine predator known for living and hunting in packs across the Northern Hemisphere.
  • C. 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.
  • D. Wolf
    "Wolf" is a popular folk-inspired song by the Swedish indie folk duo First Aid Kit, known for its haunting harmonies and evocative lyrics.
  • E. 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."
  • F. None of above.

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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f5a740819093628386732b91a6 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9708cb288190b6b7e61d23ffe309 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a9790deac8190bdc998971cfccc1a completed May 18, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_6a0a98543b2c8190ba00964fd788bb5f completed May 18, 2026, 4:40 a.m.
Created at: April 16, 2026, 8:33 p.m.