Triple

T2451717
Position Surface form Disambiguated ID Type / Status
Subject Harry Bright E53719 entity
Predicate romanticInterest P7325 FINISHED
Object Pepper
Pepper is a character romantically involved with Harry Bright in the story’s narrative.
 E268979 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: Pepper | Statement: [Harry Bright, romanticInterest, Pepper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pepper
Context triple: [Harry Bright, romanticInterest, Pepper]
  • A. Ginger
    Ginger is the brave and resourceful lead hen from the animated film "Chicken Run," known for masterminding escape plans from the farm.
  • B. Pepa
    Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
  • C. Perico
    Perico is a minor character in Ernest Hemingway's novella "The Old Man and the Sea," known as a young boy who helps the old fisherman Santiago by providing him with newspapers and showing him quiet support.
  • D. Perico
    Perico is a municipality and town located in Matanzas Province in western Cuba.
  • E. Pinky
    Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
  • 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: Pepper
Triple: [Harry Bright, romanticInterest, Pepper]
Generated description
Pepper is a character romantically involved with Harry Bright in the story’s narrative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pepper
Target entity description: Pepper is a character romantically involved with Harry Bright in the story’s narrative.
  • A. Ginger
    Ginger is the brave and resourceful lead hen from the animated film "Chicken Run," known for masterminding escape plans from the farm.
  • B. Pepa
    Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
  • C. Perico
    Perico is a minor character in Ernest Hemingway's novella "The Old Man and the Sea," known as a young boy who helps the old fisherman Santiago by providing him with newspapers and showing him quiet support.
  • D. Perico
    Perico is a municipality and town located in Matanzas Province in western Cuba.
  • E. Pinky
    Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f52524819088b00009c9dd1823 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c544788190bb0e8c5ae4a32ff0 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef53740508190893b14bb1b411a30 completed March 9, 2026, 4:28 p.m.
NED2 Entity disambiguation (via description) batch_69aef9594024819088e7afc0e64429ff completed March 9, 2026, 4:46 p.m.
Created at: March 6, 2026, 9:43 p.m.