Triple

T17965704
Position Surface form Disambiguated ID Type / Status
Subject Joe Viterelli E449199 entity
Predicate givenName P17 FINISHED
Object Joseph
Joseph is the given name of Joe Viterelli, an American character actor known for his tough-guy roles in films like "Analyze This."
E1299416 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: Joseph | Statement: [Joe Viterelli, givenName, Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph
Context triple: [Joe Viterelli, givenName, Joseph]
  • A. Joseph
    Joseph is the given name of Joe DiMaggio, the legendary American baseball center fielder for the New York Yankees.
  • B. Joseph
    Joseph is the birth name of T Bone Burnett, the American musician and acclaimed record producer known for his work on influential albums and film soundtracks.
  • C. Joseph
    Joseph, better known as Chief Joseph, was a prominent Nez Perce leader renowned for his resistance to U.S. government policies and his leadership during the Nez Perce War of 1877.
  • D. Joseph
    Joseph is the middle name of the 19th-century American reformer and Unitarian minister Samuel Joseph May, known for his prominent role in the abolitionist and social reform movements.
  • E. Joseph
    Joseph is the birth name of American comedian, actor, and filmmaker Jerry Lewis, a legendary figure in 20th-century entertainment.
  • 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: Joseph
Triple: [Joe Viterelli, givenName, Joseph]
Generated description
Joseph is the given name of Joe Viterelli, an American character actor known for his tough-guy roles in films like "Analyze This."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joseph
Target entity description: Joseph is the given name of Joe Viterelli, an American character actor known for his tough-guy roles in films like "Analyze This."
  • A. Joseph
    Joseph is the birth name of American comedian, actor, and filmmaker Jerry Lewis, a legendary figure in 20th-century entertainment.
  • B. Joseph
    Joseph is the given first name of American voice actor and comedian Joe Alaskey, known for voicing several iconic Looney Tunes characters.
  • C. Joseph
    Joseph is the given first name of American singer and entertainer Joey Fatone, best known as a member of the boy band *NSYNC.
  • D. Joseph
    Joseph is the first name of American actor Tobin Bell, best known for portraying the Jigsaw killer in the "Saw" horror film franchise.
  • E. Joseph
    Joseph is the given name of Joe DiMaggio, the legendary American baseball center fielder for the New York Yankees.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1380960819089a3c0dd7cd57e5e completed April 19, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0330120d1881908801112f9f400cd0 completed May 12, 2026, 1:50 p.m.
NEDg Description generation batch_6a0333edd0188190aa87c462813527a6 completed May 12, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_6a03347520ac8190b0b1ebfa122bfbf0 completed May 12, 2026, 2:08 p.m.
Created at: April 10, 2026, 10:22 a.m.