Triple

T19318271
Position Surface form Disambiguated ID Type / Status
Subject Honeygrow E483153 entity
Predicate logoText P3623 FINISHED
Object honeygrow NE NERFINISHED

How this triple was built (2 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: honeygrow | Statement: [Honeygrow, logoText, honeygrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: honeygrow
Context triple: [Honeygrow, logoText, honeygrow]
  • A. Honeygrow chosen
    Honeygrow is a fast-casual restaurant chain known for customizable stir-fries, salads, and noodle dishes made with fresh, locally sourced ingredients.
  • B. WeGrow
    WeGrow was an experimental, now-defunct private elementary school and education initiative created by WeWork co-founder Adam Neumann that emphasized entrepreneurship, mindfulness, and project-based learning for young children.
  • C. Honey Science LLC
    Honey Science LLC is a technology company best known for its browser extension that automatically finds and applies online shopping coupon codes and discounts.
  • D. Principal Honey
    Principal Honey is a fictional school administrator character portrayed by actor Kerr Smith, best known from the TV series "Riverdale."
  • E. Electric Honey
    Electric Honey is a Scottish independent record label known for releasing early recordings by bands such as Snow Patrol and Belle and Sebastian.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d85046c81909d972a6b369b0c2b completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.