Triple

T13288079
Position Surface form Disambiguated ID Type / Status
Subject Silent House E316492 entity
Predicate featuresCharacter P626 FINISHED
Object Metin E662862 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: Metin | Statement: [Silent House, featuresCharacter, Metin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metin
Context triple: [Silent House, featuresCharacter, Metin]
  • A. Metin chosen
    Metin is a common Turkish male given name used by various notable figures in Turkey.
  • B. Nerekhta
    Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
  • C. Mandika
    Mandika is an alternative name for the Mandinka, a major West African ethnic group known for their rich cultural traditions and historical role in the Mali Empire.
  • D. Rüya Pamuk
    Rüya Pamuk is the daughter of Nobel Prize–winning Turkish novelist Orhan Pamuk.
  • E. Maktub
    Maktub is a concept from Paulo Coelho’s novel *The Alchemist* expressing the idea that certain events are “written” or destined to happen.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99076aeec8190b0cb883ab60d3f6b completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d4a6f48190a2020e11e887be2e completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:27 p.m.