Triple

T6000685
Position Surface form Disambiguated ID Type / Status
Subject The Best a Man Can Get E133585 entity
Predicate hasAbbreviation P43 FINISHED
Object TBAMG
TBAMG is the commonly used abbreviation for the novel "The Best a Man Can Get" by British author John O'Farrell.
 E560600 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: TBAMG | Statement: [The Best a Man Can Get, hasAbbreviation, TBAMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TBAMG
Context triple: [The Best a Man Can Get, hasAbbreviation, TBAMG]
  • A. Nbat
    Nbat is the ISO 15924 script code assigned to the ancient Nabataean alphabet used in the Near East.
  • B. Cavaliers
    The Cavaliers are the athletic teams representing the University of Virginia in NCAA Division I sports.
  • C. Cavaliers
    Cavaliers were the Royalist supporters of King Charles I during the English Civil War, known for their loyalty to the monarchy and aristocratic culture.
  • D. Harlem Globetrotters
    The Harlem Globetrotters are a world-famous exhibition basketball team known for combining athletic skill with comedy, showmanship, and entertainment in games played around the globe.
  • E. The Heat
    The Heat is a 2013 buddy-cop comedy film starring Sandra Bullock and Melissa McCarthy as mismatched law enforcement partners.
  • 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: TBAMG
Triple: [The Best a Man Can Get, hasAbbreviation, TBAMG]
Generated description
TBAMG is the commonly used abbreviation for the novel "The Best a Man Can Get" by British author John O'Farrell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TBAMG
Target entity description: TBAMG is the commonly used abbreviation for the novel "The Best a Man Can Get" by British author John O'Farrell.
  • A. Nbat
    Nbat is the ISO 15924 script code assigned to the ancient Nabataean alphabet used in the Near East.
  • B. Cavaliers
    The Cavaliers are the athletic teams representing the University of Virginia in NCAA Division I sports.
  • C. Cavaliers
    Cavaliers were the Royalist supporters of King Charles I during the English Civil War, known for their loyalty to the monarchy and aristocratic culture.
  • D. Harlem Globetrotters
    The Harlem Globetrotters are a world-famous exhibition basketball team known for combining athletic skill with comedy, showmanship, and entertainment in games played around the globe.
  • E. The Heat
    The Heat is a 2013 buddy-cop comedy film starring Sandra Bullock and Melissa McCarthy as mismatched law enforcement partners.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04ee7c0e08190a6e78969448b070a completed March 22, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1088366f08190bd65374d7a44fbc8 completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c1094d6d408190abde0d2e582c15a5 completed March 23, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_69c109c333208190b90911e0cab58377 completed March 23, 2026, 9:37 a.m.
Created at: March 22, 2026, 4:05 p.m.