Triple

T15772736
Position Surface form Disambiguated ID Type / Status
Subject Kemal Sadık Gökçeli E382401 entity
Predicate notableWork P4 FINISHED
Object Ölmez Otu
Ölmez Otu is a novel by Turkish author Yaşar Kemal that portrays rural Anatolian life and social struggles through his characteristic lyrical and realist style.
 E1175349 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: Ölmez Otu | Statement: [Kemal Sadık Gökçeli, notableWork, Ölmez Otu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ölmez Otu
Context triple: [Kemal Sadık Gökçeli, notableWork, Ölmez Otu]
  • A. Schildkraut
    Schildkraut is a surname most notably associated with Austrian-American actor Joseph Schildkraut, an Academy Award winner known for his work in early 20th-century film and theater.
  • B. Oestrum
    Oestrum is a district or locality within the town of Rheinhausen in Germany.
  • C. Mytishchi plant
    The Mytishchi plant is a major Russian industrial facility known for manufacturing metro and rail rolling stock as part of Metrovagonmash’s production operations.
  • D. Oxyria
    Oxyria is a small genus of hardy, often alpine or arctic flowering plants in the knotweed family, known for species like mountain sorrel.
  • E. Erbeskopf
    Erbeskopf is a prominent mountain in western Germany known for its forested slopes, winter sports facilities, and panoramic observation points.
  • 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: Ölmez Otu
Triple: [Kemal Sadık Gökçeli, notableWork, Ölmez Otu]
Generated description
Ölmez Otu is a novel by Turkish author Yaşar Kemal that portrays rural Anatolian life and social struggles through his characteristic lyrical and realist style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ölmez Otu
Target entity description: Ölmez Otu is a novel by Turkish author Yaşar Kemal that portrays rural Anatolian life and social struggles through his characteristic lyrical and realist style.
  • A. Schildkraut
    Schildkraut is a surname most notably associated with Austrian-American actor Joseph Schildkraut, an Academy Award winner known for his work in early 20th-century film and theater.
  • B. Oestrum
    Oestrum is a district or locality within the town of Rheinhausen in Germany.
  • C. Mytishchi plant
    The Mytishchi plant is a major Russian industrial facility known for manufacturing metro and rail rolling stock as part of Metrovagonmash’s production operations.
  • D. Oxyria
    Oxyria is a small genus of hardy, often alpine or arctic flowering plants in the knotweed family, known for species like mountain sorrel.
  • E. Erbeskopf
    Erbeskopf is a prominent mountain in western Germany known for its forested slopes, winter sports facilities, and panoramic observation points.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051976d248190adddd3db9f758e22 completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877c5ae88190aeb500bb5f0d73f7 completed May 9, 2026, 7:14 p.m.
NEDg Description generation batch_69ff885d33708190adb157afa7dc2e07 completed May 9, 2026, 7:17 p.m.
NED2 Entity disambiguation (via description) batch_69ff8948cc68819085c3953226236394 completed May 9, 2026, 7:21 p.m.
Created at: April 10, 2026, 4:47 a.m.