Triple

T22144504
Position Surface form Disambiguated ID Type / Status
Subject Maverick Viñales E547250 entity
Predicate givenName P17 FINISHED
Object Maverick
Maverick is a masculine given name most prominently associated with Spanish Grand Prix motorcycle racer Maverick Viñales.
 E1522058 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: Maverick | Statement: [Maverick Viñales, givenName, Maverick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maverick
Context triple: [Maverick Viñales, givenName, Maverick]
  • A. Maverick
    Maverick is a cigarette brand known for its budget-friendly positioning within the U.S. tobacco market.
  • B. Maverick
    Maverick is the codename used by Chris Bradley, a minor Marvel Comics character associated with the X-Men universe who possesses mutant electrical powers.
  • C. Maverick
    Maverick is an entertainment company co-founded by Madonna that has operated in music, film, and artist management.
  • D. Maverick
    Maverick is a work by British novelist Graham Greene, likely reflecting his characteristic exploration of moral ambiguity and complex human motivations.
  • E. Maverick
    Maverick is a film directed by Richard Donald Schwartzberg, likely reflecting his distinctive style and thematic interests as a filmmaker.
  • 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: Maverick
Triple: [Maverick Viñales, givenName, Maverick]
Generated description
Maverick is a masculine given name most prominently associated with Spanish Grand Prix motorcycle racer Maverick Viñales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maverick
Target entity description: Maverick is a masculine given name most prominently associated with Spanish Grand Prix motorcycle racer Maverick Viñales.
  • A. Maverick
    Maverick is a surname of English origin borne by various individuals, including those with the given name Moses Maverick.
  • B. Maverick
    Maverick is a political nickname for U.S. Senator John McCain, reflecting his reputation for independence and willingness to break with his party.
  • C. Maverick
    Maverick is the daring U.S. Navy fighter pilot Pete "Maverick" Mitchell, the iconic lead character of the Top Gun film series.
  • D. Maverick
    Maverick is a cigarette brand known for its budget-friendly positioning within the U.S. tobacco market.
  • E. Maverick
    Maverick is the codename used by Chris Bradley, a minor Marvel Comics character associated with the X-Men universe who possesses mutant electrical powers.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129efd52c8190ab0acff5bbfc0d77 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96fe404481908a6b27dcf1406dfb completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a97e509a88190a7f316cf340d010a completed May 18, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0a987daa208190bab5b7adec1913e8 completed May 18, 2026, 4:41 a.m.
Created at: April 16, 2026, 8:33 p.m.