Triple

T4502964
Position Surface form Disambiguated ID Type / Status
Subject Halime Hatun E101265 entity
Predicate honorific P301 FINISHED
Object Hatun
Hatun is a historical Turkish honorific title traditionally used for noblewomen or ladies of high social status in Turkic and Ottoman societies.
E447353 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: Hatun | Statement: [Halime Hatun, honorific, Hatun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatun
Context triple: [Halime Hatun, honorific, Hatun]
  • A. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • B. Hunza
    Hunza is a mountainous valley and popular tourist destination in northern Pakistan, renowned for its dramatic Karakoram scenery and traditionally long-lived local population.
  • C. Hunza
    Hunza was the principal city and political center of the Zaque rulers within the pre-Columbian Muisca Confederation in what is now central Colombia.
  • D. Hachuamish
    Hachuamish is a traditional clan or band within the Duwamish people, an Indigenous Coast Salish group native to the Seattle area of Washington State.
  • E. Huraymila
    Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
  • 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: Hatun
Triple: [Halime Hatun, honorific, Hatun]
Generated description
Hatun is a historical Turkish honorific title traditionally used for noblewomen or ladies of high social status in Turkic and Ottoman societies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hatun
Target entity description: Hatun is a historical Turkish honorific title traditionally used for noblewomen or ladies of high social status in Turkic and Ottoman societies.
  • A. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • B. Hunza
    Hunza was the principal city and political center of the Zaque rulers within the pre-Columbian Muisca Confederation in what is now central Colombia.
  • C. Hunza
    Hunza is a mountainous valley and popular tourist destination in northern Pakistan, renowned for its dramatic Karakoram scenery and traditionally long-lived local population.
  • D. Hachuamish
    Hachuamish is a traditional clan or band within the Duwamish people, an Indigenous Coast Salish group native to the Seattle area of Washington State.
  • E. Huraymila
    Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56fb2bec8190b74b6a49d9475514 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f90d6a4819085d911de5443f111 completed March 20, 2026, 4:02 p.m.
NEDg Description generation batch_69bd71b00a2481909309765b6cc2e73d completed March 20, 2026, 4:11 p.m.
NED2 Entity disambiguation (via description) batch_69bd727abda08190bdc1d6ea015f3e46 completed March 20, 2026, 4:14 p.m.
Created at: March 20, 2026, 1:01 p.m.