Triple

T23105562
Position Surface form Disambiguated ID Type / Status
Subject Pete "Maverick" Mitchell E576151 entity
Predicate nickname P55 FINISHED
Object Maverick
Maverick is the callsign of Pete "Maverick" Mitchell, the daring and highly skilled U.S. Navy fighter pilot central to the Top Gun film series.
E576151 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: [Pete "Maverick" Mitchell, nickname, Maverick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maverick
Context triple: [Pete "Maverick" Mitchell, nickname, Maverick]
  • A. Maverick
    Maverick is a high-speed steel roller coaster at Cedar Point in Ohio, renowned for its intense launches, inversions, and twisted track layout.
  • 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 a cigarette brand known for its budget-friendly positioning within the U.S. tobacco market.
  • D. 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.
  • E. Maverick
    Maverick is an entertainment company co-founded by Madonna that has operated in music, film, and artist management.
  • 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: [Pete "Maverick" Mitchell, nickname, Maverick]
Generated description
Maverick is the callsign of Pete "Maverick" Mitchell, the daring and highly skilled U.S. Navy fighter pilot central to the Top Gun film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maverick
Target entity description: Maverick is the callsign of Pete "Maverick" Mitchell, the daring and highly skilled U.S. Navy fighter pilot central to the Top Gun film series.
  • A. Maverick chosen
    Maverick is the daring U.S. Navy fighter pilot Pete "Maverick" Mitchell, the iconic lead character of the Top Gun film series.
  • 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 a masculine given name most prominently associated with Spanish Grand Prix motorcycle racer Maverick Viñales.
  • D. 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.
  • E. Maverick
    Maverick is a 1994 comedic Western film starring Mel Gibson, Jodie Foster, and James Garner, centered on a charming gambler trying to raise money for a high-stakes poker tournament.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0ad44c81908e1873d4b3860323 completed April 29, 2026, 4:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23e606cc8190b0f51e22318250ad completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c28083b548190b8773691b6cc1e39 completed May 19, 2026, 9:06 a.m.
NED2 Entity disambiguation (via description) batch_6a0c28f3c9288190b9ee0e5c4911ee9b completed May 19, 2026, 9:10 a.m.
Created at: April 17, 2026, 3:58 p.m.