Triple
T21301630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behrouz Vossoughi |
E525078
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Qeysar |
—
|
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: Qeysar | Statement: [Behrouz Vossoughi, notableWork, Qeysar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qeysar Context triple: [Behrouz Vossoughi, notableWork, Qeysar]
-
A.
Qeysar
chosen
Qeysar is a landmark 1969 Iranian film directed by Masoud Kimiai that helped launch the Iranian New Wave with its gritty tale of revenge and social injustice.
-
B.
Kurnub
Kurnub is an alternative name for Mamshit, an ancient Nabatean caravan town and archaeological site in the Negev Desert of Israel.
-
C.
El Quseyya
El Quseyya is a city in Upper Egypt situated along the Nile within the Asyut Governorate.
-
D.
Kifri
Kifri is a town in Iraq with a significant Iraqi Turkmen population and cultural presence.
-
E.
Qahhor
Qahhor is a masculine given name commonly used in Central Asia, particularly in Tajik and Uzbek cultures.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385cd6308190bf300494833b048f |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.