Triple

T16810620
Position Surface form Disambiguated ID Type / Status
Subject Suburban Commando E408597 entity
Predicate starring P1507 FINISHED
Object Tony Longo
Tony Longo was an American character actor known for his imposing physique and frequent roles as tough guys or henchmen in film and television during the 1980s and 1990s.
E1414020 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: Tony Longo | Statement: [Suburban Commando, starring, Tony Longo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Longo
Context triple: [Suburban Commando, starring, Tony Longo]
  • A. Michael Longo
    Michael Longo is a jazz pianist and composer best known for his work with trumpeter Dizzy Gillespie and his influential contributions to modern jazz piano.
  • B. Tony Lombardo
    Tony Lombardo is a film editor known for his work on the comedy movie "Van Wilder."
  • C. Bob Lanzetti
    Bob Lanzetti is an American guitarist best known as a longtime member of the jazz-fusion ensemble Snarky Puppy.
  • D. John Macaluso
    John Macaluso is a businessman best known as the husband of former model Nadine Caridi, who was previously married to stockbroker Jordan Belfort.
  • E. Tony DeMarco
    Tony DeMarco was an American professional boxer and former world welterweight champion known for his aggressive, crowd-pleasing fighting style during the 1950s.
  • 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: Tony Longo
Triple: [Suburban Commando, starring, Tony Longo]
Generated description
Tony Longo was an American character actor known for his imposing physique and frequent roles as tough guys or henchmen in film and television during the 1980s and 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tony Longo
Target entity description: Tony Longo was an American character actor known for his imposing physique and frequent roles as tough guys or henchmen in film and television during the 1980s and 1990s.
  • A. Michael Longo
    Michael Longo is a jazz pianist and composer best known for his work with trumpeter Dizzy Gillespie and his influential contributions to modern jazz piano.
  • B. Tony Lombardo
    Tony Lombardo is a film editor known for his work on the comedy movie "Van Wilder."
  • C. Bob Lanzetti
    Bob Lanzetti is an American guitarist best known as a longtime member of the jazz-fusion ensemble Snarky Puppy.
  • D. John Macaluso
    John Macaluso is a businessman best known as the husband of former model Nadine Caridi, who was previously married to stockbroker Jordan Belfort.
  • E. Tony DeMarco
    Tony DeMarco was an American professional boxer and former world welterweight champion known for his aggressive, crowd-pleasing fighting style during the 1950s.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cf680c8190bcd640570c524918 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08345238448190a0b44774008b38d0 completed May 16, 2026, 9:09 a.m.
NEDg Description generation batch_6a0834ed79488190aca4ec32a3c0763e completed May 16, 2026, 9:12 a.m.
NED2 Entity disambiguation (via description) batch_6a08358d52a08190b4361485744c774c completed May 16, 2026, 9:14 a.m.
Created at: April 10, 2026, 5:23 a.m.