Triple

T34665234
Position Surface form Disambiguated ID Type / Status
Subject Catch E890232 entity
Predicate ownershipBrand P6092 FINISHED
Object Catch Hospitality Group
Catch Hospitality Group is a restaurant and nightlife company best known for developing and operating the upscale seafood-focused Catch restaurant brand in major cities.
 E2106714 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: Catch Hospitality Group | Statement: [Catch, ownershipBrand, Catch Hospitality Group]
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: Catch Hospitality Group
Triple: [Catch, ownershipBrand, Catch Hospitality Group]
Generated description
Catch Hospitality Group is a restaurant and nightlife company best known for developing and operating the upscale seafood-focused Catch restaurant brand in major cities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: ownershipBrand
Context triple: [Catch, ownershipBrand, Catch Hospitality Group]
  • A. usedBrand
    Indicates that an entity has utilized, applied, or operated a particular brand in some context.
  • B. usedBrandOf
    Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
  • C. catalogBrand
    Indicates that a brand is associated with, or offered within, a particular catalog.
  • D. parentBrand chosen
    Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
  • E. brandNumber
    Indicates the identifying number or code assigned to a particular brand within a system or dataset.
  • 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_69f349d9c59481908b36baa0be093aea completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7b0e5744c8190a22c1e1d6fcfa466 completed May 3, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a374903aa648190b9beaf59b4562d53 completed June 21, 2026, 2:14 a.m.
NEDg Description generation batch_6a374a91d4f08190bc2df424a4136b3d completed June 21, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_6a374b44cba88190999dede2bc2a408e completed June 21, 2026, 2:24 a.m.
PD Predicate disambiguation batch_69f7ab70d034819080295628497d8582 completed May 3, 2026, 8:09 p.m.
Created at: May 1, 2026, 2:04 a.m.