Triple

T8085546
Position Surface form Disambiguated ID Type / Status
Subject Michael Bennett series E188721 entity
Predicate hasBook P29317 FINISHED
Object I, Michael Bennett
"I, Michael Bennett" is a crime thriller novel by James Patterson and Michael Ledwidge that follows NYPD detective Michael Bennett as he confronts a powerful crime lord whose retaliation threatens his family.
 E711687 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: I, Michael Bennett | Statement: [Michael Bennett series, hasBook, I, Michael Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: I, Michael Bennett
Context triple: [Michael Bennett series, hasBook, I, Michael Bennett]
  • A. Michael’s
    Michael’s is a national arts and crafts retail chain known for selling hobby supplies, home décor, and DIY project materials.
  • B. Micheal
    Micheal is a given name, typically a variant spelling of the more common name Michael.
  • C. MIKE
    MIKE is a high-resolution optical spectrograph used on the Magellan Telescopes for detailed astronomical spectroscopy.
  • D. Iron Mike
    Iron Mike is the ferocious, hard-punching boxing persona of Mike Tyson, famed for his explosive power and intimidating presence in the ring.
  • E. Iron Mike
    Iron Mike is the nickname of Mike Ditka, the Hall of Fame tight end and Super Bowl–winning head coach best known for leading the Chicago Bears.
  • 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: I, Michael Bennett
Triple: [Michael Bennett series, hasBook, I, Michael Bennett]
Generated description
"I, Michael Bennett" is a crime thriller novel by James Patterson and Michael Ledwidge that follows NYPD detective Michael Bennett as he confronts a powerful crime lord whose retaliation threatens his family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: I, Michael Bennett
Target entity description: "I, Michael Bennett" is a crime thriller novel by James Patterson and Michael Ledwidge that follows NYPD detective Michael Bennett as he confronts a powerful crime lord whose retaliation threatens his family.
  • A. Michael’s
    Michael’s is a national arts and crafts retail chain known for selling hobby supplies, home décor, and DIY project materials.
  • B. Micheal
    Micheal is a given name, typically a variant spelling of the more common name Michael.
  • C. MIKE
    MIKE is a high-resolution optical spectrograph used on the Magellan Telescopes for detailed astronomical spectroscopy.
  • D. Iron Mike
    Iron Mike is the ferocious, hard-punching boxing persona of Mike Tyson, famed for his explosive power and intimidating presence in the ring.
  • E. Iron Mike
    Iron Mike is the nickname of Mike Ditka, the Hall of Fame tight end and Super Bowl–winning head coach best known for leading the Chicago Bears.
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415f73808190b69db386b447062e completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc6402e41c819095442775938d4282 completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc68647cec81909736383fbe73d2e8 completed April 1, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69cc69b93bbc8190be2338182dd57b17 completed April 1, 2026, 12:41 a.m.
Created at: March 30, 2026, 5:29 p.m.