Triple

T27955958
Position Surface form Disambiguated ID Type / Status
Subject Ma Chao E703548 entity
Predicate roleInShu P194847 FINISHED
Object senior general under Liu Bei — LITERAL FINISHED

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: senior general under Liu Bei | Statement: [Ma Chao, roleInShu, senior general under Liu Bei]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInShu
Context triple: [Ma Chao, roleInShu, senior general under Liu Bei]
  • A. roleInShinKokinWakashu
    Indicates the specific role or involvement an entity has in relation to the Shin Kokin Wakashū (e.g., as compiler, editor, or contributor).
  • B. shiteRole
    Indicates that one entity serves in a particular role, function, or capacity in relation to another entity.
  • C. roleInAnime
    Indicates that an entity holds a specific character role or participation in a particular anime work.
  • D. roleInKonkokyo
    Indicates the specific position, office, or function an entity holds within the Konkokyo religious organization.
  • E. roleInShinto
    Indicates that an entity holds a particular function, status, or significance within the context of Shinto beliefs, practices, or institutions.
  • F. None of above. chosen

Provenance (4 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_69ef840c8b2c8190946ae9522774ba51 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69fd8ccbd4c88190b13aae0673b3c821 completed May 8, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69fd8ae2227c819089546f5c3629799e completed May 8, 2026, 7:04 a.m.
PDg Predicate description generation batch_69fd8ccaee848190acd59d7d643ad062 completed May 8, 2026, 7:12 a.m.
Created at: April 27, 2026, 7:28 p.m.