Triple

T7281683
Position Surface form Disambiguated ID Type / Status
Subject Muazzez İlmiye Çığ E163163 entity
Predicate givenName P17 FINISHED
Object Muazzez
Muazzez is a Turkish feminine given name borne by several notable women, including the prominent Sumerologist Muazzez İlmiye Çığ.
 E654099 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: Muazzez | Statement: [Muazzez İlmiye Çığ, givenName, Muazzez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muazzez
Context triple: [Muazzez İlmiye Çığ, givenName, Muazzez]
  • A. El Mounib
    El Mounib is a district in Giza, Egypt, known for serving as a major southern transport hub on the Cairo Metro network.
  • B. Omaar
    Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
  • C. Hasana
    Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
  • D. Ziya
    Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
  • E. Al-Hareeq
    Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the 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: Muazzez
Triple: [Muazzez İlmiye Çığ, givenName, Muazzez]
Generated description
Muazzez is a Turkish feminine given name borne by several notable women, including the prominent Sumerologist Muazzez İlmiye Çığ.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muazzez
Target entity description: Muazzez is a Turkish feminine given name borne by several notable women, including the prominent Sumerologist Muazzez İlmiye Çığ.
  • A. El Mounib
    El Mounib is a district in Giza, Egypt, known for serving as a major southern transport hub on the Cairo Metro network.
  • B. Omaar
    Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
  • C. Hasana
    Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
  • D. Ziya
    Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
  • E. Al-Hareeq
    Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb34fe0c8190a642fd3339f0cacd completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db379e1c81908ebd4c44504ce5fb completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7df4788e081908ccc162125c6550d completed March 28, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69c7dfa826d081909129df80cca13daa completed March 28, 2026, 2:03 p.m.
Created at: March 27, 2026, 2:59 p.m.