Triple

T5917005
Position Surface form Disambiguated ID Type / Status
Subject Farahnaz Pahlavi E131604 entity
Predicate givenName P17 FINISHED
Object Farahnaz
Farahnaz is a Persian female given name, notably borne by Farahnaz Pahlavi, the eldest daughter of the former Shah of Iran, Mohammad Reza Pahlavi.
 E557475 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: Farahnaz | Statement: [Farahnaz Pahlavi, givenName, Farahnaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Farahnaz
Context triple: [Farahnaz Pahlavi, givenName, Farahnaz]
  • A. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • B. Soraya
    Soraya was an Iranian-German actress and former Queen consort of Iran as the second wife of Shah Mohammad Reza Pahlavi.
  • C. Shirin
    Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
  • D. Leila
    Leila is a tragic female character in Lord Byron’s narrative poem "The Giaour," whose fate embodies themes of forbidden love, betrayal, and vengeance.
  • E. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • 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: Farahnaz
Triple: [Farahnaz Pahlavi, givenName, Farahnaz]
Generated description
Farahnaz is a Persian female given name, notably borne by Farahnaz Pahlavi, the eldest daughter of the former Shah of Iran, Mohammad Reza Pahlavi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Farahnaz
Target entity description: Farahnaz is a Persian female given name, notably borne by Farahnaz Pahlavi, the eldest daughter of the former Shah of Iran, Mohammad Reza Pahlavi.
  • A. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • B. Soraya
    Soraya was an Iranian-German actress and former Queen consort of Iran as the second wife of Shah Mohammad Reza Pahlavi.
  • C. Shirin
    Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
  • D. Leila
    Leila is a tragic female character in Lord Byron’s narrative poem "The Giaour," whose fate embodies themes of forbidden love, betrayal, and vengeance.
  • E. Zohra
    Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037bcea9c8190a34dc03857e3b80b completed March 22, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c02c24cc8190a98d24f7445f59b7 completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c19665b08190ab3c66b7c6c33f61 completed March 23, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0c4576824819080ced71df8fdda6c completed March 23, 2026, 4:40 a.m.
Created at: March 22, 2026, 3:59 p.m.