Triple

T6279819
Position Surface form Disambiguated ID Type / Status
Subject Raza Jaffrey E140752 entity
Predicate givenName P17 FINISHED
Object Raza
Raza is a masculine given name commonly used in South Asian and Middle Eastern cultures, often of Arabic origin meaning "contentment" or "satisfaction."
 E583096 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: Raza | Statement: [Raza Jaffrey, givenName, Raza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raza
Context triple: [Raza Jaffrey, givenName, Raza]
  • A. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • B. Moxeño
    Moxeño is an indigenous Arawakan language spoken by the Moxeño people of Bolivia’s Beni region.
  • C. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • D. La Raza
    La Raza is a major Mexico City Metro transfer station known for its high passenger traffic and connections between multiple lines.
  • E. Bracco
    Bracco is an Italian surname most notably associated with actress Lorraine Bracco, known for her roles in "Goodfellas" and "The Sopranos."
  • 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: Raza
Triple: [Raza Jaffrey, givenName, Raza]
Generated description
Raza is a masculine given name commonly used in South Asian and Middle Eastern cultures, often of Arabic origin meaning "contentment" or "satisfaction."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raza
Target entity description: Raza is a masculine given name commonly used in South Asian and Middle Eastern cultures, often of Arabic origin meaning "contentment" or "satisfaction."
  • A. Carvallo
    Carvallo is a surname, likely a variant of Carvajal, found in Spanish- and Portuguese-speaking regions.
  • B. Moxeño
    Moxeño is an indigenous Arawakan language spoken by the Moxeño people of Bolivia’s Beni region.
  • C. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • D. La Raza
    La Raza is a major Mexico City Metro transfer station known for its high passenger traffic and connections between multiple lines.
  • E. Bracco
    Bracco is an Italian surname most notably associated with actress Lorraine Bracco, known for her roles in "Goodfellas" and "The Sopranos."
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063ddb3a4819083455f6da854f8a9 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c519549cf0819096d01c23f6c915eb completed March 26, 2026, 11:32 a.m.
NEDg Description generation batch_69c51dfe50c4819084c43ca4d6cced35 completed March 26, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_69c58d97bf808190a2f8f101cf46a16b completed March 26, 2026, 7:48 p.m.
Created at: March 22, 2026, 4:26 p.m.