Triple

T22958628
Position Surface form Disambiguated ID Type / Status
Subject Wolf Tobin E570828 entity
Predicate givenName P17 FINISHED
Object Wolf
Wolf is a masculine given name, often associated with Germanic origins and evoking the imagery and traits of the wild animal.
E1563054 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 Tobin, givenName, Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolf
Context triple: [Wolf Tobin, givenName, Wolf]
  • A. Wolf
    Wolf is a Canadian motorsport team and former Formula One constructor known for competing in the late 1970s under the name Walter Wolf Racing.
  • B. Wolf
    Wolf is an American crime drama television series starring Jack Scalia as a former cop turned private investigator.
  • 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 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."
  • E. Wolf
    "Wolf" is a 1971 semi-autobiographical novel by American author Jim Harrison that blends wilderness adventure with introspective exploration of identity and survival.
  • 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 Tobin, givenName, Wolf]
Generated description
Wolf is a masculine given name, often associated with Germanic origins and evoking the imagery and traits of the wild animal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wolf
Target entity description: Wolf is a masculine given name, often associated with Germanic origins and evoking the imagery and traits of the wild animal.
  • A. Wolf
    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 river in Germany that serves as a tributary of the Kinzig in the state of Baden-Württemberg.
  • E. 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.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f2ce9c8190977f146771816341 completed April 29, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca1dcb348190ae77148ac6c9ecff completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcaad8ba081908008b333976e5cfe completed May 19, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcb4df0308190824c0ad812daf361 completed May 19, 2026, 2:30 a.m.
Created at: April 17, 2026, 3:47 p.m.