Triple

T13408976
Position Surface form Disambiguated ID Type / Status
Subject Reşat Nuri Güntekin E320035 entity
Predicate notableWork P4 FINISHED
Object Eski Hastalık E320035 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: Eski Hastalık | Statement: [Reşat Nuri Güntekin, notableWork, Eski Hastalık]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eski Hastalık
Context triple: [Reşat Nuri Güntekin, notableWork, Eski Hastalık]
  • A. Eski Hastalık chosen
    Eski Hastalık is a novel by prominent Turkish author Reşat Nuri Güntekin, known for its exploration of social and emotional themes in early 20th-century Turkey.
  • B. Krank
    Krank is the sinister, child-stealing scientist who serves as the primary antagonist in the dark fantasy film "The City of Lost Children."
  • C. Demenen
    Demenen is a submunicipality or district within the Dutch city of Oss in the province of North Brabant.
  • D. Oil of the Sick
    Oil of the Sick is a consecrated oil used in the Catholic Church’s sacrament of Anointing of the Sick to confer spiritual and sometimes physical healing.
  • E. Morbo
    Morbo is a recurring alien news anchor character from the animated television series "Futurama," known for his booming voice and comically hostile attitude toward humanity.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4d2c5481908facfaaa1501e344 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7307ccff08190aa4037aa5a48f7d0 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:35 p.m.