Triple

T4132625
Position Surface form Disambiguated ID Type / Status
Subject Bey of Tunis E85074 entity
Predicate heldTitle P8 FINISHED
Object Bey
A Bey was a provincial governor or chieftain in the Ottoman Empire, often wielding significant military and administrative authority.
 E415143 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: Bey | Statement: [Bey of Tunis, heldTitle, Bey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bey
Context triple: [Bey of Tunis, heldTitle, Bey]
  • A. BEY
    BEY is the IATA airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon’s capital city.
  • B. Bek
    Bek is a short or informal given name, typically used as a diminutive of Rebekah.
  • C. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • D. Bessi
    The Bessi were an ancient Thracian tribe known from classical sources for inhabiting mountainous regions and serving as fierce, often rebellious, warriors and priests.
  • E. Boyega
    Boyega is the surname of British actor and producer John Boyega, best known for his role as Finn in the Star Wars sequel trilogy.
  • 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: Bey
Triple: [Bey of Tunis, heldTitle, Bey]
Generated description
A Bey was a provincial governor or chieftain in the Ottoman Empire, often wielding significant military and administrative authority.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bey
Target entity description: A Bey was a provincial governor or chieftain in the Ottoman Empire, often wielding significant military and administrative authority.
  • A. BEY
    BEY is the IATA airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon’s capital city.
  • B. Bek
    Bek is a short or informal given name, typically used as a diminutive of Rebekah.
  • C. Beyton
    Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
  • D. Bessi
    The Bessi were an ancient Thracian tribe known from classical sources for inhabiting mountainous regions and serving as fierce, often rebellious, warriors and priests.
  • E. Boyega
    Boyega is the surname of British actor and producer John Boyega, best known for his role as Finn in the Star Wars sequel trilogy.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af022f55fc81909f2a1a04d0ea59e6 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c4c0888190be156d093ea11207 completed March 14, 2026, 2:55 p.m.
NEDg Description generation batch_69b5780ac150819085bba7d3e94d702f completed March 14, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69b578b7eb0081909f25ed15fee1cf50 completed March 14, 2026, 3:03 p.m.
Created at: March 9, 2026, 3:42 p.m.