Triple

T11447705
Position Surface form Disambiguated ID Type / Status
Subject Golshifteh Farahani E271307 entity
Predicate name P16 FINISHED
Object Golshifteh Farahani E271307 NE FINISHED

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: Golshifteh Farahani | Statement: [Golshifteh Farahani, name, Golshifteh Farahani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golshifteh Farahani
Context triple: [Golshifteh Farahani, name, Golshifteh Farahani]
  • A. Golshifteh Farahani chosen
    Golshifteh Farahani is an Iranian-born actress and musician known for her acclaimed performances in international cinema, including both Iranian art films and major Hollywood productions.
  • B. Sepideh Moafi
    Sepideh Moafi is an Iranian American actress and singer known for her acclaimed television work in series such as The L Word: Generation Q, The Deuce, and Black Bird.
  • C. Leila Hatami
    Leila Hatami is an acclaimed Iranian actress best known internationally for her award-winning role in the Oscar-winning film "A Separation."
  • D. Parvin Ardalan
    Parvin Ardalan is an Iranian feminist writer and human rights activist known for her leading role in Iran’s women’s rights movement.
  • E. Hedieh Tehrani
    Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c6d4890819082fb4a670feb2629 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3bdafb08190aadf5d63facfedaf completed April 20, 2026, 7:20 a.m.
Created at: April 8, 2026, 9:35 p.m.