Triple

T20931921
Position Surface form Disambiguated ID Type / Status
Subject Asghar Farhadi E515490 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object About Elly NE NERFINISHED

How this triple was built (2 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: About Elly | Statement: [Asghar Farhadi, wroteScreenplayFor, About Elly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: About Elly
Context triple: [Asghar Farhadi, wroteScreenplayFor, About Elly]
  • A. About Elly chosen
    About Elly is a 2009 Iranian psychological drama film directed by Asghar Farhadi that explores moral ambiguity and social tensions among a group of friends on a seaside trip.
  • B. Elly
    Elly is a feminine given name used in various cultures, often as a diminutive of names like Elisabeth or Eleanor.
  • C. ELW
    ELW is the National Rail station code for Eltham railway station in the London Borough of Greenwich, England.
  • D. Ellies
    The Ellies are annual awards recognizing excellence in magazine journalism and publishing, presented by the American Society of Magazine Editors.
  • E. Elle Germany
    Elle Germany is the German edition of the international fashion and lifestyle magazine Elle, featuring content tailored to German-speaking readers and the local fashion industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 16, 2026, 12:49 p.m.