Triple

T2104860
Position Surface form Disambiguated ID Type / Status
Subject Senso-ji E37169 entity
Predicate dedicatedTo P500 FINISHED
Object Kannon
Kannon is the Japanese name for the bodhisattva of compassion, derived from the Buddhist deity Avalokiteshvara and widely venerated in Japan.
 E234489 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: Kannon | Statement: [Senso-ji, dedicatedTo, Kannon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kannon
Context triple: [Senso-ji, dedicatedTo, Kannon]
  • A. Kanyadaan
    Kanyadaan is a critically acclaimed Marathi play by Vijay Tendulkar that explores caste, idealism, and the complexities of social reform through a turbulent inter-caste marriage.
  • B. Sanshin
    Sanshin is a traditional three-stringed lute from the Ryukyu Islands, considered a central instrument in Okinawan music and culture.
  • C. Tunechi
    Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
  • D. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • E. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • 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: Kannon
Triple: [Senso-ji, dedicatedTo, Kannon]
Generated description
Kannon is the Japanese name for the bodhisattva of compassion, derived from the Buddhist deity Avalokiteshvara and widely venerated in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kannon
Target entity description: Kannon is the Japanese name for the bodhisattva of compassion, derived from the Buddhist deity Avalokiteshvara and widely venerated in Japan.
  • A. Kanyadaan
    Kanyadaan is a critically acclaimed Marathi play by Vijay Tendulkar that explores caste, idealism, and the complexities of social reform through a turbulent inter-caste marriage.
  • B. Sanshin
    Sanshin is a traditional three-stringed lute from the Ryukyu Islands, considered a central instrument in Okinawan music and culture.
  • C. Tunechi
    Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
  • D. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • E. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbadcd4a081909d60b9b241950335 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3069f78c819092a6d9d903e4df13 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae311eec148190af10e88fb4d7c433 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae3199909881909ffca021098c98ea completed March 9, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:43 p.m.