Triple

T29534276
Position Surface form Disambiguated ID Type / Status
Subject Doctor Poison (DCEU) E749291 entity
Predicate costumeDesignerForDepiction P36430 FINISHED
Object Lindy Hemming
Lindy Hemming is an Academy Award–winning British costume designer renowned for her work on major films including the James Bond series, The Dark Knight trilogy, and Wonder Woman.
 E1872147 NE FINISHED

How this triple was built (3 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: Lindy Hemming | Statement: [Doctor Poison (DCEU), costumeDesignerForDepiction, Lindy Hemming]
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: Lindy Hemming
Triple: [Doctor Poison (DCEU), costumeDesignerForDepiction, Lindy Hemming]
Generated description
Lindy Hemming is an Academy Award–winning British costume designer renowned for her work on major films including the James Bond series, The Dark Knight trilogy, and Wonder Woman.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: costumeDesignerForDepiction
Context triple: [Doctor Poison (DCEU), costumeDesignerForDepiction, Lindy Hemming]
  • A. costumeDesignerOfWork
    Indicates that an entity serves as the costume designer responsible for the costumes in a particular creative work.
  • B. costumeDesignEmphasisOn
    Indicates that a costume design places particular focus or priority on a specified element, style, feature, or thematic aspect.
  • C. designedCostumesFor chosen
    Indicates that one entity created or planned the costumes used by another entity, typically for a performance, production, or event.
  • D. costumeDesignStyle
    Indicates the stylistic approach or aesthetic characteristics used in designing a costume for a character or production.
  • E. depicts costume
    Indicates that one entity visually represents or portrays the clothing or outfit associated with another entity.
  • F. None of above.

Provenance (6 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_69f0bd47abb081909bd6e6a33d770fd8 completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66cc56c5081908ff1eb9d5a848635 completed May 2, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a260c366fa8819085ec36e542b9469f completed June 8, 2026, 12:26 a.m.
NEDg Description generation batch_6a2611d63328819086c5a27ccf3586eb completed June 8, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a2615faed10819083662734f71731ae completed June 8, 2026, 1:08 a.m.
PD Predicate disambiguation batch_69f6633ac8a88190ab0cda62bbfcf9b0 completed May 2, 2026, 8:48 p.m.
Created at: April 28, 2026, 4:56 p.m.