Triple

T18331313
Position Surface form Disambiguated ID Type / Status
Subject Hasan Ali Toptaş E439146 entity
Predicate notableWork P4 FINISHED
Object Hebâ
Hebâ is a critically acclaimed Turkish novel by Hasan Ali Toptaş, known for its poetic language and introspective exploration of memory, guilt, and the human psyche.
 E1318462 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: Hebâ | Statement: [Hasan Ali Toptaş, notableWork, Hebâ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hebâ
Context triple: [Hasan Ali Toptaş, notableWork, Hebâ]
  • A. Ghebala
    Ghebala is a town and commune located within Jijel Province in northeastern Algeria.
  • B. Hawiyah
    Hawiyah is an Islamic eschatological term referring to a deep abyss of Hell reserved for those whose evil deeds outweigh their good.
  • C. Hawiyah
    Hawiyah is a major gas plant and associated residential/industrial area in eastern Saudi Arabia that supports processing operations for the vast Ghawar oil field.
  • D. Bakhah
    Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
  • E. Харабали
    Харабали — город в Астраханской области России, расположенный на берегу реки Ахтубы и являющийся административным центром Харабалинского района.
  • 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: Hebâ
Triple: [Hasan Ali Toptaş, notableWork, Hebâ]
Generated description
Hebâ is a critically acclaimed Turkish novel by Hasan Ali Toptaş, known for its poetic language and introspective exploration of memory, guilt, and the human psyche.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hebâ
Target entity description: Hebâ is a critically acclaimed Turkish novel by Hasan Ali Toptaş, known for its poetic language and introspective exploration of memory, guilt, and the human psyche.
  • A. Ghebala
    Ghebala is a town and commune located within Jijel Province in northeastern Algeria.
  • B. Hawiyah
    Hawiyah is an Islamic eschatological term referring to a deep abyss of Hell reserved for those whose evil deeds outweigh their good.
  • C. Hawiyah
    Hawiyah is a major gas plant and associated residential/industrial area in eastern Saudi Arabia that supports processing operations for the vast Ghawar oil field.
  • D. Bakhah
    Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
  • E. Харабали
    Харабали — город в Астраханской области России, расположенный на берегу реки Ахтубы и являющийся административным центром Харабалинского района.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50eca08388190b4e757a5f63b5d41 completed April 19, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4ce13a881908b28748d9571f34d completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c61786248190b25a5557cf3ea431 completed May 13, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_6a03c6854dbc81909a05b216c4e27323 completed May 13, 2026, 12:32 a.m.
Created at: April 10, 2026, 10:36 a.m.