Triple

T3237036
Position Surface form Disambiguated ID Type / Status
Subject The Miseducation of Cameron Post E67878 entity
Predicate cinematographer P1953 FINISHED
Object Ashley Connor
Ashley Connor is an American cinematographer known for her visually distinctive, character-driven work on independent films and television.
E343165 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: Ashley Connor | Statement: [The Miseducation of Cameron Post, cinematographer, Ashley Connor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashley Connor
Context triple: [The Miseducation of Cameron Post, cinematographer, Ashley Connor]
  • A. Ashley
    Ashley is a given name commonly used in English-speaking countries for both males and females.
  • B. Ashley
    Ashley is a character featured in the animated children’s series "¡Dos!"
  • C. Ashley
    Ashley is a small village and civil parish located within the county of Suffolk in eastern England.
  • D. Ashley Lawrence
    Ashley Lawrence is a Canadian professional soccer player known for her versatility as a fullback and midfielder and as a key member of the Canadian women's national team.
  • E. Ashley Brooke
    Ashley Brooke is an actress known for her role in the film "Troop Zero."
  • 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: Ashley Connor
Triple: [The Miseducation of Cameron Post, cinematographer, Ashley Connor]
Generated description
Ashley Connor is an American cinematographer known for her visually distinctive, character-driven work on independent films and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ashley Connor
Target entity description: Ashley Connor is an American cinematographer known for her visually distinctive, character-driven work on independent films and television.
  • A. Ashley
    Ashley is a character featured in the animated children’s series "¡Dos!"
  • B. Ashley
    Ashley is a given name commonly used in English-speaking countries for both males and females.
  • C. Ashley
    Ashley is a small village and civil parish located within the county of Suffolk in eastern England.
  • D. Ashley Lawrence
    Ashley Lawrence is a Canadian professional soccer player known for her versatility as a fullback and midfielder and as a key member of the Canadian women's national team.
  • E. Ashley Brooke
    Ashley Brooke is an actress known for her role in the film "Troop Zero."
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ea696a08190a17cbeeef7632977 completed March 12, 2026, 10 a.m.
NEDg Description generation batch_69b2966f189c8190bb56daea54be8a93 completed March 12, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6bf36988190b394766e9821047c completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:08 p.m.