Triple
T21254266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatemeh Motamed-Arya |
E523823
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nargess |
—
|
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: Nargess | Statement: [Fatemeh Motamed-Arya, notableWork, Nargess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nargess Context triple: [Fatemeh Motamed-Arya, notableWork, Nargess]
-
A.
Nargess
chosen
Nargess is a critically acclaimed Iranian drama film directed by Rakhshan Bani-Etemad that explores complex social and emotional issues in contemporary Iran.
-
B.
Marian Zazeela
Marian Zazeela is an American visual artist, designer, and musician best known for her pioneering light installations and long-term collaboration with minimalist composer La Monte Young.
-
C.
Nadine
"Nadine" is a classic 1964 rock and roll song by Chuck Berry, known for its vivid storytelling and driving guitar riff.
-
D.
Nadine
Nadine is a feminine given name used in various cultures, often associated with the meaning "hope."
-
E.
Narjis
Narjis is revered in Shia Islam as the mother of Muhammad al-Mahdi, the twelfth and final Imam.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735a0391881908e45909e939415a5 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:57 p.m.