Triple

T2352090
Position Surface form Disambiguated ID Type / Status
Subject John Tate E47469 entity
Predicate friend P8712 FINISHED
Object Charlie Deveraux
Charlie Deveraux is an individual known primarily through their association as a friend of John Tate.
 E259311 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: Charlie Deveraux | Statement: [John Tate, friend, Charlie Deveraux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charlie Deveraux
Context triple: [John Tate, friend, Charlie Deveraux]
  • A. John Ewing
    John Ewing was a military leader known for commanding forces at the Battle of Stillman’s Run during the Black Hawk War.
  • B. John Ewing
    John Ewing was a film art director known for his work on classic Hollywood productions, including Alfred Hitchcock’s 1945 psychological thriller "Spellbound."
  • C. Dean Moriarty
    Dean Moriarty is a wild, charismatic drifter and free spirit in Jack Kerouac's novel "On the Road," inspired by the real-life figure Neal Cassady.
  • D. Paul Palmer
    Paul Palmer is a former American football running back best known for his standout collegiate career at Temple University and subsequent play in the NFL.
  • E. Raymond Holt
    Raymond Holt is a stoic, hyper-competent, and deadpan NYPD captain known for his leadership of the 99th precinct and his subtle, dry humor on the sitcom "Brooklyn Nine-Nine."
  • 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: Charlie Deveraux
Triple: [John Tate, friend, Charlie Deveraux]
Generated description
Charlie Deveraux is an individual known primarily through their association as a friend of John Tate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charlie Deveraux
Target entity description: Charlie Deveraux is an individual known primarily through their association as a friend of John Tate.
  • A. John Ewing
    John Ewing was a military leader known for commanding forces at the Battle of Stillman’s Run during the Black Hawk War.
  • B. John Ewing
    John Ewing was a film art director known for his work on classic Hollywood productions, including Alfred Hitchcock’s 1945 psychological thriller "Spellbound."
  • C. Dean Moriarty
    Dean Moriarty is a wild, charismatic drifter and free spirit in Jack Kerouac's novel "On the Road," inspired by the real-life figure Neal Cassady.
  • D. Paul Palmer
    Paul Palmer is a former American football running back best known for his standout collegiate career at Temple University and subsequent play in the NFL.
  • E. Raymond Holt
    Raymond Holt is a stoic, hyper-competent, and deadpan NYPD captain known for his leadership of the 99th precinct and his subtle, dry humor on the sitcom "Brooklyn Nine-Nine."
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f8ff548190b07505310e2bf0b9 completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9631c9a481909a3051ac06afdca7 completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae97f3e3348190824617b882a98146 completed March 9, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69ae98f57268819086c14006df46b794 completed March 9, 2026, 9:55 a.m.
Created at: March 4, 2026, 7:54 p.m.