Triple

T15311668
Position Surface form Disambiguated ID Type / Status
Subject I Feel Pretty E366051 entity
Predicate featuresCharacter P626 FINISHED
Object Mallory
Mallory is a supporting character in the 2018 comedy film "I Feel Pretty," which follows a woman who gains extreme confidence after believing she has become physically transformed.
 E503688 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: Mallory | Statement: [I Feel Pretty, featuresCharacter, Mallory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mallory
Context triple: [I Feel Pretty, featuresCharacter, Mallory]
  • A. Mallory
    Mallory is an English surname most famously associated with mountaineer George Mallory, a key figure in early Everest expeditions.
  • B. Humphreys
    Humphreys is a small unincorporated community located within Lea County in southeastern New Mexico.
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • E. Hayes
    Hayes is a town in the southern Jamaican parish of Clarendon, known historically for its sugar estates and bauxite-related industry.
  • 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: Mallory
Triple: [I Feel Pretty, featuresCharacter, Mallory]
Generated description
Mallory is a supporting character in the 2018 comedy film "I Feel Pretty," which follows a woman who gains extreme confidence after believing she has become physically transformed.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mallory
Target entity description: Mallory is a supporting character in the 2018 comedy film "I Feel Pretty," which follows a woman who gains extreme confidence after believing she has become physically transformed.
  • A. Mallory chosen
    Mallory is an English surname most famously associated with mountaineer George Mallory, a key figure in early Everest expeditions.
  • B. Humphreys
    Humphreys is a small unincorporated community located within Lea County in southeastern New Mexico.
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • E. Hayes
    Hayes is a town in the southern Jamaican parish of Clarendon, known historically for its sugar estates and bauxite-related industry.
  • F. None of above.

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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd2d5a88190aead748920f93d47 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a20c1881909b387aed6f532c3d completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefa339f988190b470e052c853e4f8 completed May 9, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69fefac48df08190ad58e9d455546a57 completed May 9, 2026, 9:13 a.m.
Created at: April 10, 2026, 3:16 a.m.