Triple

T3315243
Position Surface form Disambiguated ID Type / Status
Subject The Names E69665 entity
Predicate character P662 FINISHED
Object Ann Axton
Ann Axton is a fictional character from the novel "The Names" by Don DeLillo.
 E346541 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: Ann Axton | Statement: [The Names, character, Ann Axton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ann Axton
Context triple: [The Names, character, Ann Axton]
  • A. Nicky Parsons
    Nicky Parsons is a former CIA logistics technician and ally of Jason Bourne in the Bourne film series, known for her insider knowledge of the agency’s covert operations.
  • B. Errol Christie
    Errol Christie was a British professional boxer and former amateur champion known for captaining the English amateur boxing team and competing as a middleweight in the 1980s.
  • C. Carole Cole
    Carole Cole was an American actress and television producer, best known as the daughter of legendary singer Nat King Cole and for managing his musical legacy.
  • D. Lee Boardman
    Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
  • E. Phil Harris
    Phil Harris was an American bandleader, singer, comedian, and radio personality best known for his wisecracking persona on classic radio shows and his later voice work in Disney animated films.
  • 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: Ann Axton
Triple: [The Names, character, Ann Axton]
Generated description
Ann Axton is a fictional character from the novel "The Names" by Don DeLillo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ann Axton
Target entity description: Ann Axton is a fictional character from the novel "The Names" by Don DeLillo.
  • A. Nicky Parsons
    Nicky Parsons is a former CIA logistics technician and ally of Jason Bourne in the Bourne film series, known for her insider knowledge of the agency’s covert operations.
  • B. Errol Christie
    Errol Christie was a British professional boxer and former amateur champion known for captaining the English amateur boxing team and competing as a middleweight in the 1980s.
  • C. Carole Cole
    Carole Cole was an American actress and television producer, best known as the daughter of legendary singer Nat King Cole and for managing his musical legacy.
  • D. Lee Boardman
    Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
  • E. Phil Harris
    Phil Harris was an American bandleader, singer, comedian, and radio personality best known for his wisecracking persona on classic radio shows and his later voice work in Disney animated films.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb110b28081909b366623e3b0783d completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3fa347481909432bd0178e7ea57 completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2faf56ca08190b93486c07d94c08e completed March 12, 2026, 5:42 p.m.
NED2 Entity disambiguation (via description) batch_69b312b902fc819081ec01c3d418fae0 completed March 12, 2026, 7:23 p.m.
Created at: March 8, 2026, 3:11 p.m.