Triple

T14554617
Position Surface form Disambiguated ID Type / Status
Subject Uzun Hasan E341505 entity
Predicate nickname P55 FINISHED
Object Uzun
Uzun is the sobriquet of Uzun Hasan, a 15th-century ruler of the Aq Qoyunlu confederation known for his conflicts with the Ottoman Empire and efforts to expand his realm in Anatolia and Iran.
 E1105823 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: Uzun | Statement: [Uzun Hasan, nickname, Uzun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uzun
Context triple: [Uzun Hasan, nickname, Uzun]
  • A. Uzunada
    Uzunada is a Turkish island in the Aegean Sea, situated in the Gulf of İzmir and known for its strategic location and military use.
  • B. Longo
    Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
  • C. Uz
    Uz is a minor biblical figure mentioned in the Book of Genesis as one of the early descendants in Abraham’s extended family line.
  • D. Uzun Brakk
    Uzun Brakk is a prominent granite rock tower in the Karakoram range of Pakistan, renowned among climbers for its steep, challenging walls and remote location.
  • E. Longu
    Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
  • 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: Uzun
Triple: [Uzun Hasan, nickname, Uzun]
Generated description
Uzun is the sobriquet of Uzun Hasan, a 15th-century ruler of the Aq Qoyunlu confederation known for his conflicts with the Ottoman Empire and efforts to expand his realm in Anatolia and Iran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uzun
Target entity description: Uzun is the sobriquet of Uzun Hasan, a 15th-century ruler of the Aq Qoyunlu confederation known for his conflicts with the Ottoman Empire and efforts to expand his realm in Anatolia and Iran.
  • A. Uzunada
    Uzunada is a Turkish island in the Aegean Sea, situated in the Gulf of İzmir and known for its strategic location and military use.
  • B. Longo
    Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
  • C. Uz
    Uz is a minor biblical figure mentioned in the Book of Genesis as one of the early descendants in Abraham’s extended family line.
  • D. Uzun Brakk
    Uzun Brakk is a prominent granite rock tower in the Karakoram range of Pakistan, renowned among climbers for its steep, challenging walls and remote location.
  • E. Longu
    Longu is an Austronesian language spoken in the Solomon Islands, known primarily as a local name for the Longgu language.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f00cec8190a7b6482d18b9a216 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab9a5ac81908779a3c8701353fa completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8be7d8988190807d4db477b91de0 completed May 8, 2026, 7:08 a.m.
NED2 Entity disambiguation (via description) batch_69fd8d506df4819092b52b0dde04bb4d completed May 8, 2026, 7:14 a.m.
Created at: April 10, 2026, 1:23 a.m.