Triple

T7826022
Position Surface form Disambiguated ID Type / Status
Subject The Spider’s Thread E181246 entity
Predicate featuresCharacter P626 FINISHED
Object Kandata
Kandata is the central sinner protagonist in Ryūnosuke Akutagawa’s short story “The Spider’s Thread,” known for his brief act of compassion that offers him a chance at salvation from hell.
E695273 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: Kandata | Statement: [The Spider’s Thread, featuresCharacter, Kandata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kandata
Context triple: [The Spider’s Thread, featuresCharacter, Kandata]
  • A. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • B. Kandas
    Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
  • C. Kasada
    Kasada is a traditional Hindu ritual and festival observed by the Tenggerese people of East Java, Indonesia, involving offerings cast into the crater of Mount Bromo.
  • D. Kankanay
    Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
  • E. Kanda
    Kanda is a historic commercial and educational district in central Tokyo known for its bookstores, universities, and traditional shrines.
  • 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: Kandata
Triple: [The Spider’s Thread, featuresCharacter, Kandata]
Generated description
Kandata is the central sinner protagonist in Ryūnosuke Akutagawa’s short story “The Spider’s Thread,” known for his brief act of compassion that offers him a chance at salvation from hell.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kandata
Target entity description: Kandata is the central sinner protagonist in Ryūnosuke Akutagawa’s short story “The Spider’s Thread,” known for his brief act of compassion that offers him a chance at salvation from hell.
  • A. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • B. Kandas
    Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
  • C. Kasada
    Kasada is a traditional Hindu ritual and festival observed by the Tenggerese people of East Java, Indonesia, involving offerings cast into the crater of Mount Bromo.
  • D. Kankanay
    Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
  • E. Kanda
    Kanda is a historic commercial and educational district in central Tokyo known for its bookstores, universities, and traditional shrines.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb04a6185481908462079bd2827642 completed March 30, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb14aefd4881908ffa5825f4ba6eff completed March 31, 2026, 12:26 a.m.
NEDg Description generation batch_69cb1734e5d88190a3d894199ee2fbfe completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a6fc16c8190827593f58b9d742d completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:43 p.m.