Triple
T21254267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatemeh Motamed-Arya |
E523823
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Gilaneh |
—
|
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: Gilaneh | Statement: [Fatemeh Motamed-Arya, notableWork, Gilaneh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilaneh Context triple: [Fatemeh Motamed-Arya, notableWork, Gilaneh]
-
A.
Gilaneh
chosen
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.
-
B.
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.
-
C.
Shirin
Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
-
D.
Shohreh
Shohreh is a Persian feminine given name most prominently associated with the Iranian-American actress Shohreh Aghdashloo.
-
E.
Roya
Roya is a river in southeastern France and northwestern Italy that flows through the Alps to the Mediterranean Sea.
- 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.