Triple

T19220892
Position Surface form Disambiguated ID Type / Status
Subject 山口多聞 E480608 entity
Predicate 指揮した艦艇 P90806 FINISHED
Object 蒼龍
蒼龍は、太平洋戦争期に日本海軍が運用した代表的な正規航空母艦の一つである。
E1364536 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: 蒼龍 | Statement: [山口多聞, 指揮した艦艇, 蒼龍]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 蒼龍
Context triple: [山口多聞, 指揮した艦艇, 蒼龍]
  • A. Crouching Dragon
    Crouching Dragon is the famous style name of Zhuge Liang, the legendary strategist and statesman of the Three Kingdoms period in Chinese history.
  • B. Thunder Dragon
    Thunder Dragon is the English rendering of "Druk," the mythical dragon symbol central to Bhutanese national identity and its Drukpa lineage of Tibetan Buddhism.
  • C. Qinglong
    Qinglong was a historical Chinese era name used during the Three Kingdoms period under the state of Cao Wei.
  • D. White Dragon
    White Dragon is a powerful, often malevolent draconic creature typically associated with cold, ice, and purity in contrast to its fiery red counterpart.
  • E. Green Dragon
    Green Dragon is a film for which Canadian composer Jeff Danna created the musical score.
  • 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: 蒼龍
Triple: [山口多聞, 指揮した艦艇, 蒼龍]
Generated description
蒼龍は、太平洋戦争期に日本海軍が運用した代表的な正規航空母艦の一つである。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 蒼龍
Target entity description: 蒼龍は、太平洋戦争期に日本海軍が運用した代表的な正規航空母艦の一つである。
  • A. Crouching Dragon
    Crouching Dragon is the famous style name of Zhuge Liang, the legendary strategist and statesman of the Three Kingdoms period in Chinese history.
  • B. Thunder Dragon
    Thunder Dragon is the English rendering of "Druk," the mythical dragon symbol central to Bhutanese national identity and its Drukpa lineage of Tibetan Buddhism.
  • C. Qinglong
    Qinglong was a historical Chinese era name used during the Three Kingdoms period under the state of Cao Wei.
  • D. White Dragon
    White Dragon is a powerful, often malevolent draconic creature typically associated with cold, ice, and purity in contrast to its fiery red counterpart.
  • E. Green Dragon
    Green Dragon is a film for which Canadian composer Jeff Danna created the musical score.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3e8d488190a93fb743dabd0ffb completed April 20, 2026, 10:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0700ecc4d08190b7f69985769e0e75 completed May 15, 2026, 11:18 a.m.
NEDg Description generation batch_6a0701dc358c8190b9ce4aea5315a31b completed May 15, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_6a07027372c88190b19ea77d9b610a56 completed May 15, 2026, 11:24 a.m.
Created at: April 10, 2026, 1:24 p.m.