Triple

T6257203
Position Surface form Disambiguated ID Type / Status
Subject Hugh Garner E140198 entity
Predicate notableWork P4 FINISHED
Object Best Stories
Best Stories is a collection of short fiction by Canadian writer Hugh Garner, showcasing his notable work in realist storytelling.
 E579364 NE FINISHED

How this triple was built (4 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: Best Stories | Statement: [Hugh Garner, notableWork, Best Stories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Best Stories
Context triple: [Hugh Garner, notableWork, Best Stories]
  • A. Stories
    Stories is Snapchat’s signature feature that lets users share photos and videos in a chronological sequence that disappears after 24 hours.
  • B. The Stories
    The Stories is the English translation of the name of Surah Al-Qasas, a chapter of the Qur’an that recounts key narratives of earlier prophets, especially the story of Moses.
  • C. Some Stories
    Some Stories is a collection of short works included within Hannah Arendt’s philosophical study The Human Condition.
  • D. Telling Stories
    "Telling Stories" is a folk-rock song by American singer-songwriter Tracy Chapman, known for its introspective lyrics and soulful vocal delivery.
  • E. Stories That Matter
    Stories That Matter is the guiding motto of the Peabody Awards, emphasizing their focus on honoring impactful and socially significant storytelling in media.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Best Stories
Triple: [Hugh Garner, notableWork, Best Stories]
Generated description
Best Stories is a collection of short fiction by Canadian writer Hugh Garner, showcasing his notable work in realist storytelling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Best Stories
Target entity description: Best Stories is a collection of short fiction by Canadian writer Hugh Garner, showcasing his notable work in realist storytelling.
  • A. Stories
    Stories is Snapchat’s signature feature that lets users share photos and videos in a chronological sequence that disappears after 24 hours.
  • B. The Stories
    The Stories is the English translation of the name of Surah Al-Qasas, a chapter of the Qur’an that recounts key narratives of earlier prophets, especially the story of Moses.
  • C. Some Stories
    Some Stories is a collection of short works included within Hannah Arendt’s philosophical study The Human Condition.
  • D. Telling Stories
    "Telling Stories" is a folk-rock song by American singer-songwriter Tracy Chapman, known for its introspective lyrics and soulful vocal delivery.
  • E. Stories That Matter
    Stories That Matter is the guiding motto of the Peabody Awards, emphasizing their focus on honoring impactful and socially significant storytelling in media.
  • F. None of above. chosen

Provenance (5 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06366baa481908d59428cceabbe46 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c244379f308190b73fe7ed4ed678e9 completed March 24, 2026, 7:58 a.m.
NEDg Description generation batch_69c246309e5081908cd00cdf15f545d3 completed March 24, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69c246cd73608190a76e1d99da153338 completed March 24, 2026, 8:09 a.m.
Created at: March 22, 2026, 4:24 p.m.