Triple

T16635550
Position Surface form Disambiguated ID Type / Status
Subject Grandpa Mori Tanaka E404188 entity
Predicate givenName P17 FINISHED
Object Mori E18131 NE 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: Mori | Statement: [Grandpa Mori Tanaka, givenName, Mori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mori
Context triple: [Grandpa Mori Tanaka, givenName, Mori]
  • A. Mori chosen
    Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
  • B. Mori
    Mori is a remote Himalayan village in Uttarkashi district of Uttarakhand, India, known for its scenic beauty along the Tons River and as a base for trekking and adventure activities.
  • C. Mori
    Mori is a municipality in northern Italy’s Trentino region, known for its Alpine setting and cultural ties to its European twin towns.
  • D. Mōri
    Mōri is a prominent Japanese samurai clan that rose to power in western Honshu during the Sengoku period and later became influential daimyō under the Tokugawa shogunate.
  • E. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e999d48190bff680040dbc883d completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc05bd881909c6b2e0d95622aa1 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.