Triple

T7681340
Position Surface form Disambiguated ID Type / Status
Subject Zülfü Livaneli E173999 entity
Predicate notableWork P4 FINISHED
Object Veda
Veda is a Turkish novel by Zülfü Livaneli that portrays the final days of the Ottoman Empire through the intertwined lives of its characters.
 E680956 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: Veda | Statement: [Zülfü Livaneli, notableWork, Veda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Veda
Context triple: [Zülfü Livaneli, notableWork, Veda]
  • A. Vedam
    Vedam is a 2010 Telugu-language anthology drama film acclaimed for its multi-strand narrative and Allu Arjun’s critically praised performance.
  • B. Savitrī
    Savitrī is a legendary heroine from the Mahābhārata renowned for her unwavering devotion and intelligence, who wins back her husband’s life from the god of death through courage and spiritual resolve.
  • C. Yagnik
    Yagnik is an Indian surname commonly associated with Gujarati families and notable figures in politics, arts, and public life.
  • D. Vivasvan
    Vivasvan is a Vedic epithet of the Hindu sun god, revered as a solar deity and progenitor of humanity in ancient Indian scriptures.
  • E. Vaishvanara
    Vaishvanara is a Vedic epithet of the fire god Agni, emphasizing his universal, all-pervading aspect as the cosmic fire present in all beings.
  • 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: Veda
Triple: [Zülfü Livaneli, notableWork, Veda]
Generated description
Veda is a Turkish novel by Zülfü Livaneli that portrays the final days of the Ottoman Empire through the intertwined lives of its characters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Veda
Target entity description: Veda is a Turkish novel by Zülfü Livaneli that portrays the final days of the Ottoman Empire through the intertwined lives of its characters.
  • A. Vedam
    Vedam is a 2010 Telugu-language anthology drama film acclaimed for its multi-strand narrative and Allu Arjun’s critically praised performance.
  • B. Savitrī
    Savitrī is a legendary heroine from the Mahābhārata renowned for her unwavering devotion and intelligence, who wins back her husband’s life from the god of death through courage and spiritual resolve.
  • C. Yagnik
    Yagnik is an Indian surname commonly associated with Gujarati families and notable figures in politics, arts, and public life.
  • D. Vivasvan
    Vivasvan is a Vedic epithet of the Hindu sun god, revered as a solar deity and progenitor of humanity in ancient Indian scriptures.
  • E. Vaishvanara
    Vaishvanara is a Vedic epithet of the fire god Agni, emphasizing his universal, all-pervading aspect as the cosmic fire present in all beings.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70201387c8190afc8479b5a9e21e8 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a24de3a48190a92009b6092b09d0 completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a30d3fac8190bec7e2748bc8f17e completed March 29, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3d2e660819099f90a9e43310381 completed March 29, 2026, 4 a.m.
Created at: March 27, 2026, 4:01 p.m.