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.