Triple

T15748495
Position Surface form Disambiguated ID Type / Status
Subject Moses Maverick E381784 entity
Predicate familyName P18 FINISHED
Object Maverick
Maverick is a surname of English origin borne by various individuals, including those with the given name Moses Maverick.
E1174343 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: [Moses Maverick, familyName, Maverick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maverick
Context triple: [Moses Maverick, familyName, Maverick]
  • A. Maverick
    Maverick is an MBTA subway station on Boston’s Blue Line serving the East Boston neighborhood.
  • B. 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.
  • 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: [Moses Maverick, familyName, Maverick]
Generated description
Maverick is a surname of English origin borne by various individuals, including those with the given name Moses Maverick.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maverick
Target entity description: Maverick is a surname of English origin borne by various individuals, including those with the given name Moses Maverick.
  • A. Maverick
    Maverick is a political nickname for U.S. Senator John McCain, reflecting his reputation for independence and willingness to break with his party.
  • 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 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 a classic American Western comedy television series that aired in the late 1950s, following the adventures of charming, poker-playing gambler Bret Maverick and his relatives.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502fd3608190b42e647b9c2b41a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8309cba881909579ee5a62b3aa31 completed May 9, 2026, 6:55 p.m.
NEDg Description generation batch_69ff83d929a48190aea75597b864d210 completed May 9, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69ff846436e48190b711da134c9a3b81 completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:46 a.m.