Triple

T16294079
Position Surface form Disambiguated ID Type / Status
Subject Tomris Uyar E395601 entity
Predicate givenName P17 FINISHED
Object Tomris
Tomris is a feminine given name of Turkic origin, notably borne by the Turkish writer and translator Tomris Uyar.
 E1205725 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: Tomris | Statement: [Tomris Uyar, givenName, Tomris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tomris
Context triple: [Tomris Uyar, givenName, Tomris]
  • A. Kamarina
    Kamarina is a modern settlement in the Epirus region of northwestern Greece, located near the archaeological site of ancient Cassope.
  • B. Tarsos
    Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
  • C. Zefta
    Zefta is a village located in southern Lebanon within the Nabatieh Governorate.
  • D. Murça
    Murça is a small municipality in northern Portugal, known for its wine production and location within the Douro region.
  • E. Patara
    Patara was an important ancient port city of Lycia on the southwestern coast of modern-day Turkey, known as a major maritime and commercial center and later as a significant site in early Christianity.
  • 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: Tomris
Triple: [Tomris Uyar, givenName, Tomris]
Generated description
Tomris is a feminine given name of Turkic origin, notably borne by the Turkish writer and translator Tomris Uyar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tomris
Target entity description: Tomris is a feminine given name of Turkic origin, notably borne by the Turkish writer and translator Tomris Uyar.
  • A. Kamarina
    Kamarina is a modern settlement in the Epirus region of northwestern Greece, located near the archaeological site of ancient Cassope.
  • B. Tarsos
    Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
  • C. Zefta
    Zefta is a village located in southern Lebanon within the Nabatieh Governorate.
  • D. Murça
    Murça is a small municipality in northern Portugal, known for its wine production and location within the Douro region.
  • E. Patara
    Patara was an important ancient port city of Lycia on the southwestern coast of modern-day Turkey, known as a major maritime and commercial center and later as a significant site in early Christianity.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2c255881909d99c43770475329 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9965b8819080278ccef15288aa completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a0021459c4081908e4c1d2e0bc8a5be completed May 10, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0022247e908190842ca6186b4e9c4c completed May 10, 2026, 6:13 a.m.
Created at: April 10, 2026, 5:05 a.m.