Triple
T5640159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zal |
E124245
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Rudabeh |
E515468
|
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: Rudabeh | Statement: [Zal, spouse, Rudabeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudabeh Context triple: [Zal, spouse, Rudabeh]
-
A.
Rudabeh
chosen
Rudabeh is a legendary Persian princess and queen in the Shahnameh, renowned for her beauty, wisdom, and as the mother of the hero Rostam.
-
B.
Sudabeh
Sudabeh is a prominent figure in the Persian epic Shahnameh, known as the queen whose tragic and deceitful actions play a key role in the downfall of Prince Siyavash.
-
C.
Hafezieh
Hafezieh is a famous mausoleum and cultural site in Shiraz, Iran, dedicated to the revered Persian poet Hafez and known for its beautiful gardens and traditional architecture.
-
D.
Hazmieh
Hazmieh is a suburban municipality southeast of Beirut, Lebanon, known for its residential neighborhoods, commercial centers, and strategic location near major highways.
-
E.
Shirin
Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022850bf08190953cd5394f821801 |
completed | March 22, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d7456408190962c476f2848927e |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:41 p.m.