Triple

T22146052
Position Surface form Disambiguated ID Type / Status
Subject Marvin Hagler vs. Sugar Ray Leonard E547290 entity
Predicate judge P3169 FINISHED
Object Dave Moretti
Dave Moretti is a veteran American boxing judge known for scoring numerous high-profile championship bouts.
E1521441 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: Dave Moretti | Statement: [Marvin Hagler vs. Sugar Ray Leonard, judge, Dave Moretti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dave Moretti
Context triple: [Marvin Hagler vs. Sugar Ray Leonard, judge, Dave Moretti]
  • A. Michael Cartellone
    Michael Cartellone is an American drummer best known as the longtime percussionist for the Southern rock band Lynyrd Skynyrd.
  • B. John Baccigaluppi
    John Baccigaluppi is a musician best known as a member of the American indie rock band Rogue Wave.
  • C. Daniel Mongiardo
    Daniel Mongiardo is an American physician and Democratic politician from Kentucky who served as the state's lieutenant governor.
  • D. Steve Crosetti
    Steve Crosetti is a fictional Baltimore homicide detective known for his intense personality and strong Catholic faith on the television series "Homicide: Life on the Street."
  • E. Andy Robustelli
    Andy Robustelli was a Hall of Fame defensive end best known for his dominant play with the New York Giants during the 1950s and early 1960s.
  • 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: Dave Moretti
Triple: [Marvin Hagler vs. Sugar Ray Leonard, judge, Dave Moretti]
Generated description
Dave Moretti is a veteran American boxing judge known for scoring numerous high-profile championship bouts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dave Moretti
Target entity description: Dave Moretti is a veteran American boxing judge known for scoring numerous high-profile championship bouts.
  • A. Michael Cartellone
    Michael Cartellone is an American drummer best known as the longtime percussionist for the Southern rock band Lynyrd Skynyrd.
  • B. John Baccigaluppi
    John Baccigaluppi is a musician best known as a member of the American indie rock band Rogue Wave.
  • C. Daniel Mongiardo
    Daniel Mongiardo is an American physician and Democratic politician from Kentucky who served as the state's lieutenant governor.
  • D. Steve Crosetti
    Steve Crosetti is a fictional Baltimore homicide detective known for his intense personality and strong Catholic faith on the television series "Homicide: Life on the Street."
  • E. Andy Robustelli
    Andy Robustelli was a Hall of Fame defensive end best known for his dominant play with the New York Giants during the 1950s and early 1960s.
  • 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_69f129f097248190a8a3cdff1593b5b5 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9700e2ec819087cfd2c7ef40a01a completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a97bd6fe081909a3e609ff2022f82 completed May 18, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0a9843fb3481908a120dc3ac360124 completed May 18, 2026, 4:40 a.m.
Created at: April 16, 2026, 8:33 p.m.