Triple

T5532116
Position Surface form Disambiguated ID Type / Status
Subject Light in August E145072 entity
Predicate character P662 FINISHED
Object Byron Bunch
Byron Bunch is a hardworking, morally upright mill worker in William Faulkner’s novel "Light in August," known for his quiet compassion and unrequited love for Lena Grove.
 E544752 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: Byron Bunch | Statement: [Light in August, character, Byron Bunch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Byron Bunch
Context triple: [Light in August, character, Byron Bunch]
  • A. Byron Bowers
    Byron Bowers is an American stand-up comedian, writer, and actor known for his work in television, film, and comedy specials.
  • B. Byron Metcalf
    Byron Metcalf is an American musician and producer known for his work in shamanic and ambient percussion-based music.
  • C. Byron Simpson
    Byron Simpson is a screenwriter best known for co-writing the animated adventure film "The Rescuers Down Under."
  • D. Bryan Bedford
    Bryan Bedford is an American airline executive best known for leading regional carriers such as Chautauqua Airlines and Republic Airways Holdings.
  • E. Bryan Bedford
    Bryan Bedford is the young boy central to the 1994 film "Miracle on 34th Street," whose belief in Santa Claus becomes a key focus of the story.
  • 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: Byron Bunch
Triple: [Light in August, character, Byron Bunch]
Generated description
Byron Bunch is a hardworking, morally upright mill worker in William Faulkner’s novel "Light in August," known for his quiet compassion and unrequited love for Lena Grove.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Byron Bunch
Target entity description: Byron Bunch is a hardworking, morally upright mill worker in William Faulkner’s novel "Light in August," known for his quiet compassion and unrequited love for Lena Grove.
  • A. Byron Bowers
    Byron Bowers is an American stand-up comedian, writer, and actor known for his work in television, film, and comedy specials.
  • B. Byron Metcalf
    Byron Metcalf is an American musician and producer known for his work in shamanic and ambient percussion-based music.
  • C. Byron Simpson
    Byron Simpson is a screenwriter best known for co-writing the animated adventure film "The Rescuers Down Under."
  • D. Bryan Bedford
    Bryan Bedford is an American airline executive best known for leading regional carriers such as Chautauqua Airlines and Republic Airways Holdings.
  • E. Bryan Bedford
    Bryan Bedford is the young boy central to the 1994 film "Miracle on 34th Street," whose belief in Santa Claus becomes a key focus of the story.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9d17ec8190b93b12931a4c1b33 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d65dafc819083b60cbff2031819 completed March 22, 2026, 11:38 p.m.
NEDg Description generation batch_69c08a993fbc81908e33c3a623c947b3 completed March 23, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69c08ae679588190909474da7e4bed68 completed March 23, 2026, 12:35 a.m.
Created at: March 22, 2026, 3:34 p.m.