Triple
T21574353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yūsuf u Zulaykhā |
E532359
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Zulaykha |
—
|
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: Zulaykha | Statement: [Yūsuf u Zulaykhā, mainCharacter, Zulaykha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zulaykha Context triple: [Yūsuf u Zulaykhā, mainCharacter, Zulaykha]
-
A.
Zulaykha
chosen
Zulaykha is a central romantic and spiritual figure in Jami’s Persian masnavi “Yusuf and Zulaykha,” where her passionate love for the prophet Yusuf symbolizes the soul’s longing for the divine.
-
B.
Zubeidaa
Zubeidaa is a 2001 Indian biographical drama film directed by Shyam Benegal, known for its portrayal of a free-spirited actress who becomes entangled in royal politics and personal tragedy.
-
C.
Kamilah
Kamilah is a musical artist known for being featured on the track "Unpredictable."
-
D.
Aisha
Aisha is a skilled and enigmatic operative who joins the elite black-ops team in the action film "The Losers" (2010).
-
E.
Aisha
Aisha is a notable work associated with the creator or project known as Gaia.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cef2748190990a81967d49b706 |
completed | April 27, 2026, 4:45 a.m. |
Created at: April 16, 2026, 6:30 p.m.