Triple

T22321592
Position Surface form Disambiguated ID Type / Status
Subject Beylik of Aydın E551799 entity
Predicate notableRuler P22 FINISHED
Object Umur Bey
Umur Bey was a 14th-century Turkish emir and naval commander of the Beylik of Aydın, known for his maritime campaigns in the Aegean and conflicts with Byzantine and Latin powers.
E1531096 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: Umur Bey | Statement: [Beylik of Aydın, notableRuler, Umur Bey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umur Bey
Context triple: [Beylik of Aydın, notableRuler, Umur Bey]
  • A. Budak
    Budak is a Turkish surname borne by various individuals, including academics, politicians, and public figures.
  • B. Bey
    A Bey was a provincial governor or chieftain in the Ottoman Empire, often wielding significant military and administrative authority.
  • C. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • D. Bebbi
    Bebbi is a popular nickname for FC Basel, one of Switzerland’s most successful and passionately supported football clubs.
  • E. Baaeed
    Baaeed is a champion British Thoroughbred racehorse renowned for his unbeaten streak in top-level mile races and status as one of the highest-rated horses of his generation.
  • 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: Umur Bey
Triple: [Beylik of Aydın, notableRuler, Umur Bey]
Generated description
Umur Bey was a 14th-century Turkish emir and naval commander of the Beylik of Aydın, known for his maritime campaigns in the Aegean and conflicts with Byzantine and Latin powers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Umur Bey
Target entity description: Umur Bey was a 14th-century Turkish emir and naval commander of the Beylik of Aydın, known for his maritime campaigns in the Aegean and conflicts with Byzantine and Latin powers.
  • A. Budak
    Budak is a Turkish surname borne by various individuals, including academics, politicians, and public figures.
  • B. Bey
    A Bey was a provincial governor or chieftain in the Ottoman Empire, often wielding significant military and administrative authority.
  • C. Bebek
    Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
  • D. Bebbi
    Bebbi is a popular nickname for FC Basel, one of Switzerland’s most successful and passionately supported football clubs.
  • E. Baaeed
    Baaeed is a champion British Thoroughbred racehorse renowned for his unbeaten streak in top-level mile races and status as one of the highest-rated horses of his generation.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15764d3a48190af79ce4642b7f563 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad51a87688190ad638880953172c7 completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad992b43c8190b0e409d64db83308 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0adac48bec8190989dd7c5e28d283a completed May 18, 2026, 9:24 a.m.
Created at: April 16, 2026, 8:42 p.m.