Triple

T15876196
Position Surface form Disambiguated ID Type / Status
Subject Forough Farrokhzad E384958 entity
Predicate givenName P17 FINISHED
Object Forough
Forough is the given name of Forough Farrokhzad, a pioneering and influential modern Iranian poet and film director.
E1183329 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: Forough | Statement: [Forough Farrokhzad, givenName, Forough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forough
Context triple: [Forough Farrokhzad, givenName, Forough]
  • A. Farhual
    Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
  • B. 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.
  • C. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • D. Firuzkuh
    Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
  • E. Faruj
    Faruj is a small city in northeastern Iran known for its location within North Khorasan Province and its role as a local administrative and commercial center.
  • 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: Forough
Triple: [Forough Farrokhzad, givenName, Forough]
Generated description
Forough is the given name of Forough Farrokhzad, a pioneering and influential modern Iranian poet and film director.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Forough
Target entity description: Forough is the given name of Forough Farrokhzad, a pioneering and influential modern Iranian poet and film director.
  • A. Farhual
    Farhual is a regional dialect of the Hakha Chin language spoken by Chin communities in parts of Myanmar and neighboring areas.
  • B. 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.
  • C. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • D. Firuzkuh
    Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
  • E. Faruj
    Faruj is a small city in northeastern Iran known for its location within North Khorasan Province and its role as a local administrative and commercial center.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fdc1b881909d1c82c4c66a195a completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb041adac8190a8e6e5c646fdedf3 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb1570324819086dfd14bab516811 completed May 9, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1eedaf481908d70e3517fbd5492 completed May 9, 2026, 10:15 p.m.
Created at: April 10, 2026, 4:51 a.m.