Triple

T923042
Position Surface form Disambiguated ID Type / Status
Subject Orhan E19924 entity
Predicate givenName P17 FINISHED
Object Orhan E19924 NE FINISHED

How this triple was built (2 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: Orhan | Statement: [Orhan, givenName, Orhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orhan
Context triple: [Orhan, givenName, Orhan]
  • A. Orhan chosen
    Orhan was the second ruler of the early Ottoman state who significantly expanded its territories in northwestern Anatolia and laid foundations for its future imperial structure.
  • B. Kerim Bey
    Kerim Bey is a charismatic and resourceful MI6 ally in the James Bond series, best known for assisting Bond in Istanbul in the film and novel "From Russia, with Love."
  • C. Orhan Çelebi
    Orhan Çelebi was an Ottoman prince who sided with the Byzantines and commanded forces during the 1453 siege and fall of Constantinople.
  • D. 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.
  • E. Osman Zeki Üngör
    Osman Zeki Üngör was a prominent Turkish composer and conductor, best known for arranging and conducting the music that became Turkey’s national anthem.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b314f6fc81908a3ccc2e741e3c2b completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f023de4819099af23a8d30cb96f completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:40 p.m.