Triple

T3842539
Position Surface form Disambiguated ID Type / Status
Subject İlhan Berk E93485 entity
Predicate givenName P17 FINISHED
Object İlhan
İlhan is a Turkish masculine given name commonly borne by notable figures in literature, arts, and public life.
 E393561 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: İlhan | Statement: [İlhan Berk, givenName, İlhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: İlhan
Context triple: [İlhan Berk, givenName, İlhan]
  • A. İlhan Selçuk
    İlhan Selçuk was a prominent Turkish journalist, writer, and intellectual known for his influential columns and staunchly secular, Kemalist views.
  • B. May Arslan
    May Arslan was a Lebanese Druze aristocrat and political figure, best known as the wife of Druze leader Kamal Jumblatt and mother of politician Walid Jumblatt.
  • C. Ziya
    Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
  • D. Eyüp
    Eyüp is a historic district on Istanbul’s Golden Horn, known for its important Ottoman-era mosque complex and traditional neighborhoods.
  • E. Attilâ İlhan
    Attilâ İlhan was a prominent 20th-century Turkish poet, novelist, and essayist known for his politically charged, modernist works and influential role in shaping contemporary Turkish literature.
  • 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: İlhan
Triple: [İlhan Berk, givenName, İlhan]
Generated description
İlhan is a Turkish masculine given name commonly borne by notable figures in literature, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: İlhan
Target entity description: İlhan is a Turkish masculine given name commonly borne by notable figures in literature, arts, and public life.
  • A. İlhan Selçuk
    İlhan Selçuk was a prominent Turkish journalist, writer, and intellectual known for his influential columns and staunchly secular, Kemalist views.
  • B. May Arslan
    May Arslan was a Lebanese Druze aristocrat and political figure, best known as the wife of Druze leader Kamal Jumblatt and mother of politician Walid Jumblatt.
  • C. Ziya
    Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
  • D. Eyüp
    Eyüp is a historic district on Istanbul’s Golden Horn, known for its important Ottoman-era mosque complex and traditional neighborhoods.
  • E. Attilâ İlhan
    Attilâ İlhan was a prominent 20th-century Turkish poet, novelist, and essayist known for his politically charged, modernist works and influential role in shaping contemporary Turkish literature.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb397ac81908f74a42a0eeb8682 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040d478081909a903bbf02f0d0ec completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b50492239c8190a6c62504e2a6d130 completed March 14, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_69b50863e4a08190bd54274b2212abfc completed March 14, 2026, 7:04 a.m.
Created at: March 9, 2026, 3:18 p.m.