Triple

T18229824
Position Surface form Disambiguated ID Type / Status
Subject Old Friends E436515 entity
Predicate mainCharacters P9202 FINISHED
Object Joe Torchio
Joe Torchio is a central character in the play "Old Friends," around whom much of the story’s interpersonal drama and emotional tension revolves.
E1313797 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: Joe Torchio | Statement: [Old Friends, mainCharacters, Joe Torchio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Torchio
Context triple: [Old Friends, mainCharacters, Joe Torchio]
  • A. Louis Capone
    Louis Capone was an American mobster and hitman associated with the New York City underworld, particularly the Murder, Inc. enforcement arm of the Mafia.
  • B. Albert Prisco
    Albert Prisco was an early 20th-century film actor known for his role in the silent-era production "The Love Light."
  • C. Carmine Giordano
    Carmine Giordano is an Italian composer known for his contributions to Baroque-era sacred and instrumental music.
  • D. Frank Nitti
    Frank Nitti was a prominent Italian-American mobster who became one of the key leaders of the Chicago Outfit, especially after Al Capone’s imprisonment.
  • E. Angelo Pizzo
    Angelo Pizzo is an American screenwriter and film producer best known for writing and producing inspirational sports dramas such as "Hoosiers" and "Rudy."
  • 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: Joe Torchio
Triple: [Old Friends, mainCharacters, Joe Torchio]
Generated description
Joe Torchio is a central character in the play "Old Friends," around whom much of the story’s interpersonal drama and emotional tension revolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joe Torchio
Target entity description: Joe Torchio is a central character in the play "Old Friends," around whom much of the story’s interpersonal drama and emotional tension revolves.
  • A. Louis Capone
    Louis Capone was an American mobster and hitman associated with the New York City underworld, particularly the Murder, Inc. enforcement arm of the Mafia.
  • B. Albert Prisco
    Albert Prisco was an early 20th-century film actor known for his role in the silent-era production "The Love Light."
  • C. Carmine Giordano
    Carmine Giordano is an Italian composer known for his contributions to Baroque-era sacred and instrumental music.
  • D. Frank Nitti
    Frank Nitti was a prominent Italian-American mobster who became one of the key leaders of the Chicago Outfit, especially after Al Capone’s imprisonment.
  • E. Angelo Pizzo
    Angelo Pizzo is an American screenwriter and film producer best known for writing and producing inspirational sports dramas such as "Hoosiers" and "Rudy."
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b284a8819088456c2af5fa1de5 completed April 19, 2026, 3:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac66d0b08190a09a20b1f393ed4f completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad5a19208190942d0a2a92641f69 completed May 12, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a03adfb5e148190b96a0026a72d789b completed May 12, 2026, 10:47 p.m.
Created at: April 10, 2026, 10:33 a.m.