Triple

T15623773
Position Surface form Disambiguated ID Type / Status
Subject Zekeria Ebrahimi E375628 entity
Predicate familyName P18 FINISHED
Object Ebrahimi
Ebrahimi is a Persian-origin surname commonly found in Iran and among the global Iranian diaspora.
 E1169266 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: Ebrahimi | Statement: [Zekeria Ebrahimi, familyName, Ebrahimi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ebrahimi
Context triple: [Zekeria Ebrahimi, familyName, Ebrahimi]
  • A. Rūzbeh
    Rūzbeh was the original Persian name of Ibn al-Muqaffaʿ, the influential 8th-century translator and prose stylist who helped shape early Arabic literature.
  • B. Parviz
    Parviz is a masculine given name of Persian origin commonly used in Iran and among Persian-speaking communities.
  • C. Reza
    Reza is the given name of Reza Shah Pahlavi, the founder of the Pahlavi dynasty and modernizing monarch of Iran in the early 20th century.
  • D. Ershadi
    Ershadi is the surname of Homayoun Ershadi, an Iranian actor known for his roles in international films such as "Taste of Cherry" and "The Kite Runner."
  • E. Ehsan
    Ehsan is a Persian given name commonly used for males in Iran and other Persian-speaking or Muslim-majority countries.
  • 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: Ebrahimi
Triple: [Zekeria Ebrahimi, familyName, Ebrahimi]
Generated description
Ebrahimi is a Persian-origin surname commonly found in Iran and among the global Iranian diaspora.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ebrahimi
Target entity description: Ebrahimi is a Persian-origin surname commonly found in Iran and among the global Iranian diaspora.
  • A. Rūzbeh
    Rūzbeh was the original Persian name of Ibn al-Muqaffaʿ, the influential 8th-century translator and prose stylist who helped shape early Arabic literature.
  • B. Parviz
    Parviz is a masculine given name of Persian origin commonly used in Iran and among Persian-speaking communities.
  • C. Reza
    Reza is the given name of Reza Shah Pahlavi, the founder of the Pahlavi dynasty and modernizing monarch of Iran in the early 20th century.
  • D. Ershadi
    Ershadi is the surname of Homayoun Ershadi, an Iranian actor known for his roles in international films such as "Taste of Cherry" and "The Kite Runner."
  • E. Ehsan
    Ehsan is a Persian given name commonly used for males in Iran and other Persian-speaking or Muslim-majority countries.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9cfd94819091459aa17a002eaf completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678a9fac81908030726054ff5a99 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff6883b5048190b64e4361bc89dd80 completed May 9, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff6911a76c819088c8a86d2106b6c6 completed May 9, 2026, 5:04 p.m.
Created at: April 10, 2026, 4:14 a.m.