Triple

T932622
Position Surface form Disambiguated ID Type / Status
Subject Murad I E20126 entity
Predicate father P120 FINISHED
Object Orhan E134653 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: [Murad I, father, Orhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orhan
Context triple: [Murad I, father, Orhan]
  • A. Orhan
    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. Orhan Gazi chosen
    Orhan Gazi was the second ruler of the Ottoman Beylik who significantly expanded its territories in northwestern Anatolia during the 14th century, laying foundations for the future Ottoman Empire.
  • C. 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."
  • D. Orhan Çelebi
    Orhan Çelebi was an Ottoman prince who sided with the Byzantines and commanded forces during the 1453 siege and fall of Constantinople.
  • 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.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b34c457c819085cbfa0c798cb4c6 completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f26d0548190a4d851e8758fd07e completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:40 p.m.