Triple

T14816591
Position Surface form Disambiguated ID Type / Status
Subject Zoe Tapper E348332 entity
Predicate playedRole P3512 FINISHED
Object Emma in "Liar"
Emma in "Liar" is a supporting character in the British psychological thriller series, involved in the complex web of relationships and secrets surrounding the central sexual assault case.
 E1122503 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: Emma in "Liar" | Statement: [Zoe Tapper, playedRole, Emma in "Liar"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Emma in "Liar"
Context triple: [Zoe Tapper, playedRole, Emma in "Liar"]
  • A. Liza
    Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
  • B. Liza
    Liza is a central tragic heroine in Alexander Pushkin’s short story "The Queen of Spades," whose ill-fated love and entanglement with gambling intrigue drive much of the plot.
  • C. Yvonne in The Thief
    Yvonne in *The Thief* is a supporting character in the 1952 Cold War spy film, serving as part of the tense, dialogue-free narrative surrounding espionage and suspicion.
  • D. Lianne
    Lianne is a central character in Don DeLillo’s novel "Falling Man," depicted as a woman grappling with personal and familial upheaval in the aftermath of the September 11 attacks.
  • E. Liz
    Liz is a common shortened form or nickname for the given name Elizabeth.
  • 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: Emma in "Liar"
Triple: [Zoe Tapper, playedRole, Emma in "Liar"]
Generated description
Emma in "Liar" is a supporting character in the British psychological thriller series, involved in the complex web of relationships and secrets surrounding the central sexual assault case.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Emma in "Liar"
Target entity description: Emma in "Liar" is a supporting character in the British psychological thriller series, involved in the complex web of relationships and secrets surrounding the central sexual assault case.
  • A. Liza
    Liza is a central tragic heroine in Alexander Pushkin’s short story "The Queen of Spades," whose ill-fated love and entanglement with gambling intrigue drive much of the plot.
  • B. Liza
    Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
  • C. Yvonne in The Thief
    Yvonne in *The Thief* is a supporting character in the 1952 Cold War spy film, serving as part of the tense, dialogue-free narrative surrounding espionage and suspicion.
  • D. Lianne
    Lianne is a central character in Don DeLillo’s novel "Falling Man," depicted as a woman grappling with personal and familial upheaval in the aftermath of the September 11 attacks.
  • E. Liz
    Liz is a common shortened form or nickname for the given name Elizabeth.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe2c1ec81908b3dff7a5d0e85d0 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe3897691c819085ef89480e730723 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe5178e8b481909c88ee7db29f037c completed May 8, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69fe5217512c8190b0cea476f4b95007 completed May 8, 2026, 9:13 p.m.
Created at: April 10, 2026, 1:49 a.m.