Triple

T7990946
Position Surface form Disambiguated ID Type / Status
Subject Muzafer Sherif E186003 entity
Predicate givenName P17 FINISHED
Object Muzafer
Muzafer is the given name of Muzafer Sherif, a pioneering social psychologist best known for his work on group conflict and the Robbers Cave experiment.
 E702876 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: Muzafer | Statement: [Muzafer Sherif, givenName, Muzafer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muzafer
Context triple: [Muzafer Sherif, givenName, Muzafer]
  • A. Muazzez
    Muazzez is a Turkish feminine given name borne by several notable women, including the prominent Sumerologist Muazzez İlmiye Çığ.
  • B. Fikret
    Fikret is a Turkish surname most notably associated with the influential poet and educator Tevfik Fikret, a leading figure in late Ottoman literature.
  • C. Ziya
    Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
  • D. Zaimoglu
    Zaimoglu is the surname of Feridun Zaimoglu, a prominent German-Turkish author and artist known for his works on migration, identity, and multiculturalism.
  • E. Husan
    Husan is a Palestinian village located in the Bethlehem Governorate of the West Bank.
  • 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: Muzafer
Triple: [Muzafer Sherif, givenName, Muzafer]
Generated description
Muzafer is the given name of Muzafer Sherif, a pioneering social psychologist best known for his work on group conflict and the Robbers Cave experiment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muzafer
Target entity description: Muzafer is the given name of Muzafer Sherif, a pioneering social psychologist best known for his work on group conflict and the Robbers Cave experiment.
  • A. Muazzez
    Muazzez is a Turkish feminine given name borne by several notable women, including the prominent Sumerologist Muazzez İlmiye Çığ.
  • B. Fikret
    Fikret is a Turkish surname most notably associated with the influential poet and educator Tevfik Fikret, a leading figure in late Ottoman literature.
  • C. Ziya
    Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
  • D. Zaimoglu
    Zaimoglu is the surname of Feridun Zaimoglu, a prominent German-Turkish author and artist known for his works on migration, identity, and multiculturalism.
  • E. Husan
    Husan is a Palestinian village located in the Bethlehem Governorate of the West Bank.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c6fc19c8190b98023e257c2f4f2 completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0f5c22881908044a178d670684c completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43f883081908768a7314409b622 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34c6cf6881909b28a0b6882b518d completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:16 p.m.