Triple

T16262194
Position Surface form Disambiguated ID Type / Status
Subject Cheick Kongo E394780 entity
Predicate hasVictoryOver P34090 FINISHED
Object Matt Mitrione
Matt Mitrione is an American mixed martial artist and former NFL defensive tackle best known for competing in the UFC heavyweight division and later in Bellator MMA.
E1254331 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: Matt Mitrione | Statement: [Cheick Kongo, hasVictoryOver, Matt Mitrione]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Mitrione
Context triple: [Cheick Kongo, hasVictoryOver, Matt Mitrione]
  • A. Anthony Marentino
    Anthony Marentino is a flamboyant, quick-witted wedding planner and stylist best known as Charlotte York’s close friend and eventual husband on the television series "Sex and the City."
  • B. Michael Sellitto
    Michael Sellitto is a technology executive and co-founder of the AI safety and research company Anthropic.
  • C. Michael Nuccio
    Michael Nuccio is an actor known for appearing in the psychological thriller film "In the Cut."
  • D. Matt Baglio
    Matt Baglio is an American author and journalist best known for his nonfiction book on modern exorcism that inspired the film "The Rite."
  • E. Mike Piscitelli
    Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
  • 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: Matt Mitrione
Triple: [Cheick Kongo, hasVictoryOver, Matt Mitrione]
Generated description
Matt Mitrione is an American mixed martial artist and former NFL defensive tackle best known for competing in the UFC heavyweight division and later in Bellator MMA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matt Mitrione
Target entity description: Matt Mitrione is an American mixed martial artist and former NFL defensive tackle best known for competing in the UFC heavyweight division and later in Bellator MMA.
  • A. Anthony Marentino
    Anthony Marentino is a flamboyant, quick-witted wedding planner and stylist best known as Charlotte York’s close friend and eventual husband on the television series "Sex and the City."
  • B. Michael Sellitto
    Michael Sellitto is a technology executive and co-founder of the AI safety and research company Anthropic.
  • C. Michael Nuccio
    Michael Nuccio is an actor known for appearing in the psychological thriller film "In the Cut."
  • D. Matt Baglio
    Matt Baglio is an American author and journalist best known for his nonfiction book on modern exorcism that inspired the film "The Rite."
  • E. Mike Piscitelli
    Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c4a0b08190af3574f087205afc completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01481c3084819099e198c408bea464 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a0149a552c88190a4f615f67459a705 completed May 11, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a014a095934819097be0ad099bcde66 completed May 11, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:04 a.m.