Triple

T2563027
Position Surface form Disambiguated ID Type / Status
Subject Chan Buddhism E57285 entity
Predicate associatedMonk P39343 FINISHED
Object Sengcan
Sengcan was an early Chinese Chan (Zen) Buddhist master traditionally regarded as the Third Patriarch of Chan.
 E277419 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: Sengcan | Statement: [Chan Buddhism, associatedMonk, Sengcan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sengcan
Context triple: [Chan Buddhism, associatedMonk, Sengcan]
  • A. Bantia
    Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
  • B. Machang
    Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
  • C. Bachok
    Bachok is a coastal town and district in the Malaysian state of Kelantan, known for its beaches and traditional Malay fishing villages.
  • D. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • E. Sitiawan
    Sitiawan is a coastal town in the Manjung District of Perak, Malaysia, known for its fishing industry and proximity to the port city of Lumut.
  • 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: Sengcan
Triple: [Chan Buddhism, associatedMonk, Sengcan]
Generated description
Sengcan was an early Chinese Chan (Zen) Buddhist master traditionally regarded as the Third Patriarch of Chan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sengcan
Target entity description: Sengcan was an early Chinese Chan (Zen) Buddhist master traditionally regarded as the Third Patriarch of Chan.
  • A. Bantia
    Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
  • B. Machang
    Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
  • C. Bachok
    Bachok is a coastal town and district in the Malaysian state of Kelantan, known for its beaches and traditional Malay fishing villages.
  • D. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • E. Sitiawan
    Sitiawan is a coastal town in the Manjung District of Perak, Malaysia, known for its fishing industry and proximity to the port city of Lumut.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd8317b0481908d6d1436732253b2 completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d264db481908e9dc3b5e2e8260a completed March 9, 2026, 11:52 p.m.
NEDg Description generation batch_69af5dc8aca48190b359526bf60f79ce completed March 9, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69af5e781360819080b4b96942beb17d completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:48 p.m.