Triple

T20931956
Position Surface form Disambiguated ID Type / Status
Subject Rakhshan Bani-Etemad E515491 entity
Predicate notableWork P4 FINISHED
Object Gilaneh
Gilaneh is an Iranian war drama film directed by Rakhshan Bani-Etemad that portrays the impact of the Iran–Iraq War on an elderly woman and her family.
 E1458709 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: Gilaneh | Statement: [Rakhshan Bani-Etemad, notableWork, Gilaneh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gilaneh
Context triple: [Rakhshan Bani-Etemad, notableWork, Gilaneh]
  • A. Delaram
    Delaram is a town in southwestern Afghanistan that serves as a key transport hub linking major highways, including routes toward Iran and central Afghanistan.
  • B. Shirin
    Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
  • C. Shohreh
    Shohreh is a Persian feminine given name most prominently associated with the Iranian-American actress Shohreh Aghdashloo.
  • D. Roya
    Roya is a river in southeastern France and northwestern Italy that flows through the Alps to the Mediterranean Sea.
  • E. Golshifteh
    Golshifteh is the given name of Golshifteh Farahani, an acclaimed Iranian-French actress and musician known for her work in international cinema.
  • 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: Gilaneh
Triple: [Rakhshan Bani-Etemad, notableWork, Gilaneh]
Generated description
Gilaneh is an Iranian war drama film directed by Rakhshan Bani-Etemad that portrays the impact of the Iran–Iraq War on an elderly woman and her family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gilaneh
Target entity description: Gilaneh is an Iranian war drama film directed by Rakhshan Bani-Etemad that portrays the impact of the Iran–Iraq War on an elderly woman and her family.
  • A. Delaram
    Delaram is a town in southwestern Afghanistan that serves as a key transport hub linking major highways, including routes toward Iran and central Afghanistan.
  • B. Shirin
    Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
  • C. Shohreh
    Shohreh is a Persian feminine given name most prominently associated with the Iranian-American actress Shohreh Aghdashloo.
  • D. Roya
    Roya is a river in southeastern France and northwestern Italy that flows through the Alps to the Mediterranean Sea.
  • E. Golshifteh
    Golshifteh is the given name of Golshifteh Farahani, an acclaimed Iranian-French actress and musician known for her work in international cinema.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f65681b4819083c7ef6b44ba4bdb completed April 21, 2026, 4 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09278159b081908fb6c5a384a0ad2d completed May 17, 2026, 2:27 a.m.
NEDg Description generation batch_6a092819af008190bc51cd6367d7542a completed May 17, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_6a092896b75881909d5145ccaef0cd7e completed May 17, 2026, 2:31 a.m.
Created at: April 16, 2026, 12:49 p.m.