Triple

T38276453

Position	Surface form	Disambiguated ID	Type / Status
Subject	Camelot (2023 revival)	`E1021969`	entity
Predicate	hairAndWigDesignBy	`P50540`	FINISHED
Object	Cookie Jordan Cookie Jordan is a theatrical hair and wig designer known for her work on major Broadway productions, including the 2023 revival of "Camelot."	`E2263617`	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: Cookie Jordan | Statement: [Camelot (2023 revival), hairAndWigDesignBy, Cookie Jordan]

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: Cookie Jordan
Triple: [Camelot (2023 revival), hairAndWigDesignBy, Cookie Jordan]

Generated description

Cookie Jordan is a theatrical hair and wig designer known for her work on major Broadway productions, including the 2023 revival of "Camelot."

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hairAndWigDesignBy
Context triple: [Camelot (2023 revival), hairAndWigDesignBy, Cookie Jordan]

A. hairCraftedBy chosen
Indicates that a hairstyle or hair-related work was created or styled by a specific person or agent.
B. hairSpecialty
Indicates a professional focus or expertise in working with a particular type, style, or treatment of hair.
C. hairdressingClientele
Indicates that one entity serves as the customer or client receiving hairdressing services from another entity.
D. servesHairConcern
Indicates that a product, service, or action addresses or is intended to treat a specific hair-related concern.
E. hairDetail
Indicates a relationship that specifies particular characteristics or attributes of an entity’s hair, such as style, color, length, or texture.
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_69f76df0cddc81908d16c1556ff4097f`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69fccbd826708190b5fab12c4236299a`	completed	May 7, 2026, 5:28 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a4193dec1a08190ba6a49811fd6429d`	completed	June 28, 2026, 9:36 p.m.
NEDg	Description generation	`batch_6a419562557c81909280edd7d755f959`	completed	June 28, 2026, 9:42 p.m.
NED2	Entity disambiguation (via description)	`batch_6a4195c696f8819096e040b28883213b`	completed	June 28, 2026, 9:44 p.m.
PD	Predicate disambiguation	`batch_69fcc58838e08190b8fa54aa5c165f2d`	completed	May 7, 2026, 5:02 p.m.

Created at: May 3, 2026, 4:30 p.m.