Triple

T22612591
Position Surface form Disambiguated ID Type / Status
Subject Debra Christofferson E566750 entity
Predicate characterPlayed P1507 FINISHED
Object Lila
Lila is a character portrayed by American actress Debra Christofferson, known for her roles in television and film.
 E1545416 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: Lila | Statement: [Debra Christofferson, characterPlayed, Lila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lila
Context triple: [Debra Christofferson, characterPlayed, Lila]
  • A. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • B. Lila
    Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
  • C. Lila
    Lila is the daughter of French actress Virginie Ledoyen.
  • D. Lila
    Lila is a central character in Anita Desai’s novel "The Village by the Sea," portrayed as a responsible and resilient village girl who struggles to care for her impoverished family.
  • E. Lila
    Lila is the first name of Lila Diane Sawyer, a prominent American television journalist and longtime network news anchor.
  • 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: Lila
Triple: [Debra Christofferson, characterPlayed, Lila]
Generated description
Lila is a character portrayed by American actress Debra Christofferson, known for her roles in television and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lila
Target entity description: Lila is a character portrayed by American actress Debra Christofferson, known for her roles in television and film.
  • A. Lila
    Lila is the daughter of French actress Virginie Ledoyen.
  • B. Lila
    Lila is the first name of Lila Diane Sawyer, a prominent American television journalist and longtime network news anchor.
  • C. Lila
    Lila is a character from the Peanuts universe who appears in the animated film "Snoopy, Come Home" as Snoopy’s original owner.
  • D. Lila
    Lila is a central character in Anita Desai’s novel "The Village by the Sea," portrayed as a responsible and resilient village girl who struggles to care for her impoverished family.
  • E. Lila
    Lila is the central female protagonist of William Inge’s play "A Loss of Roses," whose personal struggles and relationships drive the drama’s emotional core.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167eb08c88190bf2380fa8575d2da completed April 29, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b4dfd45c4819099a637f7a4a39dea completed May 18, 2026, 5:35 p.m.
NEDg Description generation batch_6a0b4eca4478819088b84c15c497eb2f completed May 18, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_6a0b4f8600448190a726d0fe91e17cff completed May 18, 2026, 5:42 p.m.
Created at: April 17, 2026, 2:57 p.m.