Triple

T4709996
Position Surface form Disambiguated ID Type / Status
Subject The Bag Man E104484 entity
Predicate producer P490 FINISHED
Object Anthony Rhulen
Anthony Rhulen was an American film producer known for financing and producing independent movies, including genre and thriller projects in the 2000s and 2010s.
E464811 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: Anthony Rhulen | Statement: [The Bag Man, producer, Anthony Rhulen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Rhulen
Context triple: [The Bag Man, producer, Anthony Rhulen]
  • A. Peter Mengede
    Peter Mengede is an Australian guitarist best known as a founding member of the New York alternative metal band Helmet.
  • B. Bill DeRonde
    Bill DeRonde is a film editor best known for his work on the cult action film "The Boondock Saints."
  • C. Guy Hecker
    Guy Hecker was a 19th-century Major League Baseball pitcher and occasional first baseman known for his standout seasons in the American Association, including winning pitching Triple Crowns and excelling as a hitter.
  • D. Timothy Mertens
    Timothy Mertens is a film editor best known for his work on animated features such as "Horton Hears a Who!".
  • E. William Shea
    William Shea is an editor known for his work on the film "The Wedding March."
  • 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: Anthony Rhulen
Triple: [The Bag Man, producer, Anthony Rhulen]
Generated description
Anthony Rhulen was an American film producer known for financing and producing independent movies, including genre and thriller projects in the 2000s and 2010s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anthony Rhulen
Target entity description: Anthony Rhulen was an American film producer known for financing and producing independent movies, including genre and thriller projects in the 2000s and 2010s.
  • A. Peter Mengede
    Peter Mengede is an Australian guitarist best known as a founding member of the New York alternative metal band Helmet.
  • B. Bill DeRonde
    Bill DeRonde is a film editor best known for his work on the cult action film "The Boondock Saints."
  • C. Guy Hecker
    Guy Hecker was a 19th-century Major League Baseball pitcher and occasional first baseman known for his standout seasons in the American Association, including winning pitching Triple Crowns and excelling as a hitter.
  • D. Timothy Mertens
    Timothy Mertens is a film editor best known for his work on animated features such as "Horton Hears a Who!".
  • E. William Shea
    William Shea is an editor known for his work on the film "The Wedding March."
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63ee712c81908da60aa0df58efe0 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1078784c81908e9a3fd0b168cadc completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be11c41a7c81909f00d8301e224ec2 completed March 21, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_69be12497a90819086176bf8a8111517 completed March 21, 2026, 3:36 a.m.
Created at: March 20, 2026, 1:17 p.m.