Triple

T8154090
Position Surface form Disambiguated ID Type / Status
Subject Lily James E190401 entity
Predicate playedCharacter P1507 FINISHED
Object Debora
Debora is a fictional character from the film "Baby Driver," portrayed as the music-loving waitress and love interest of the protagonist.
 E717278 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: Debora | Statement: [Lily James, playedCharacter, Debora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Debora
Context triple: [Lily James, playedCharacter, Debora]
  • A. Deborah
    Deborah is a prominent biblical prophetess and judge of Israel known for her leadership and role in delivering the Israelites from Canaanite oppression.
  • B. Dinah
    Dinah is a biblical figure mentioned in the Book of Genesis as the daughter of Jacob and Leah.
  • C. Peninnah
    Peninnah is a biblical figure, one of Elkanah’s wives, known for provoking and taunting Hannah over her childlessness in the First Book of Samuel.
  • D. Miriam
    Miriam is a central fictional character in Nathaniel Hawthorne’s novel "The Marble Faun," portrayed as a mysterious and artistically gifted woman with a troubled past.
  • E. Miriam
    Miriam is a prominent biblical figure known as the sister of Moses and Aaron and as a prophetess during the Exodus of the Israelites from Egypt.
  • 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: Debora
Triple: [Lily James, playedCharacter, Debora]
Generated description
Debora is a fictional character from the film "Baby Driver," portrayed as the music-loving waitress and love interest of the protagonist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Debora
Target entity description: Debora is a fictional character from the film "Baby Driver," portrayed as the music-loving waitress and love interest of the protagonist.
  • A. Deborah
    Deborah is a prominent biblical prophetess and judge of Israel known for her leadership and role in delivering the Israelites from Canaanite oppression.
  • B. Dinah
    Dinah is a biblical figure mentioned in the Book of Genesis as the daughter of Jacob and Leah.
  • C. Peninnah
    Peninnah is a biblical figure, one of Elkanah’s wives, known for provoking and taunting Hannah over her childlessness in the First Book of Samuel.
  • D. Miriam
    Miriam is a central fictional character in Nathaniel Hawthorne’s novel "The Marble Faun," portrayed as a mysterious and artistically gifted woman with a troubled past.
  • E. Miriam
    Miriam is a prominent biblical figure known as the sister of Moses and Aaron and as a prophetess during the Exodus of the Israelites from Egypt.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d566b08190a6bb672f9c368806 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf0518688190b519fbe1823b95c2 completed April 1, 2026, 6:45 a.m.
NEDg Description generation batch_69ccd7ca966481909bd01c4bb7f525ee completed April 1, 2026, 8:31 a.m.
NED2 Entity disambiguation (via description) batch_69ccd93da8ec8190b343dd2d0b1aad54 completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 5:37 p.m.