Triple

T27108371

Position	Surface form	Disambiguated ID	Type / Status
Subject	Norms Restaurant (La Cienega Boulevard, Los Angeles)	`E686642`	entity
Predicate	founderOfChain	`P11844`	FINISHED
Object	Norm Roybark Norm Roybark was an American restaurateur best known for creating the Norms Restaurant diner chain in Southern California.	`E1765471`	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: Norm Roybark | Statement: [Norms Restaurant (La Cienega Boulevard, Los Angeles), founderOfChain, Norm Roybark]

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: Norm Roybark
Triple: [Norms Restaurant (La Cienega Boulevard, Los Angeles), founderOfChain, Norm Roybark]

Generated description

Norm Roybark was an American restaurateur best known for creating the Norms Restaurant diner chain in Southern California.

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

Target predicate: founderOfChain
Context triple: [Norms Restaurant (La Cienega Boulevard, Los Angeles), founderOfChain, Norm Roybark]

A. founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
B. currentFounder
Indicates that an entity is a present, active founder of another entity (such as an organization or company).
C. founderAlsoKnownAs
Indicates that an individual who is a founder of something is also known by an alternative name or alias.
D. eponymousFounderOf
Indicates that a person is the namesake founder after whom an organization, place, or entity is named.
E. wasFoundedBy chosen
Indicates that an organization, institution, or entity came into existence through the initiating action or establishment by a specific founder or founding group.
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_69ef148accd48190b6ed6e13a15f2a4f`	completed	April 27, 2026, 7:47 a.m.
NER	Named-entity recognition	`batch_69f71996e1a48190ac59a1d66d7c44e8`	completed	May 3, 2026, 9:47 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12625a6b808190b18d2212a514c9d1`	completed	May 24, 2026, 2:28 a.m.
NEDg	Description generation	`batch_6a126d04c0ac8190a0be232512d7baad`	completed	May 24, 2026, 3:14 a.m.
NED2	Entity disambiguation (via description)	`batch_6a126e5956f8819087415e8b62a2e1f5`	completed	May 24, 2026, 3:19 a.m.
PD	Predicate disambiguation	`batch_69f71820c6c88190ab38b4fa626d22cc`	completed	May 3, 2026, 9:40 a.m.

Created at: April 27, 2026, 8:52 a.m.