Triple

T901706
Position Surface form Disambiguated ID Type / Status
Subject Queen Zein al-Sharaf E19460 entity
Predicate givenName P17 FINISHED
Object Zein
Zein is the given name of Queen Zein al-Sharaf, a prominent 20th-century queen of Jordan known for her social and political influence.
 E107000 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: Zein | Statement: [Queen Zein al-Sharaf, givenName, Zein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zein
Context triple: [Queen Zein al-Sharaf, givenName, Zein]
  • A. Milch
    Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
  • B. Enz
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • C. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • D. Zestaponi
    Zestaponi is an industrial town in western Georgia known historically for its manganese processing and role as a regional transport hub.
  • E. Frisch
    Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
  • 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: Zein
Triple: [Queen Zein al-Sharaf, givenName, Zein]
Generated description
Zein is the given name of Queen Zein al-Sharaf, a prominent 20th-century queen of Jordan known for her social and political influence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zein
Target entity description: Zein is the given name of Queen Zein al-Sharaf, a prominent 20th-century queen of Jordan known for her social and political influence.
  • A. Milch
    Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
  • B. Enz
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • C. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • D. Zestaponi
    Zestaponi is an industrial town in western Georgia known historically for its manganese processing and role as a regional transport hub.
  • E. Frisch
    Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad4412408190a6bf8fc7484a5781 completed March 1, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c734e680819098840e9c736b5ead completed March 4, 2026, 5:46 a.m.
NEDg Description generation batch_69a7c8a3064081908772ee2305bbe3e1 completed March 4, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_69a7c8fecaac8190a7b1a1cd2fa98a2d completed March 4, 2026, 5:54 a.m.
Created at: March 1, 2026, 7:39 p.m.