Triple
T15876068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khosrow and Shirin |
E384955
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | Layla and Majnun |
E383806
|
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: Layla and Majnun | Statement: [Khosrow and Shirin, relatedWork, Layla and Majnun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Layla and Majnun Context triple: [Khosrow and Shirin, relatedWork, Layla and Majnun]
-
A.
Leyli and Majnun
chosen
Leyli and Majnun is a classic Azerbaijani-Turkic narrative poem by Fuzuli that retells the legendary tragic love story of Layla and Majnun within the Islamic literary tradition.
-
B.
Lalla Rookh
Lalla Rookh is an 1817 Oriental romance poem by Irish writer Thomas Moore, famed for its exotic setting and interwoven tales of love and politics.
-
C.
Majnun
Majnun is the legendary, love-stricken poet of classical Arabic and Persian literature, famed for his tragic, obsessive love for Layla.
-
D.
El Leila
El Leila is a popular Arabic pop song and album by Egyptian singer Amr Diab, known for its catchy melody and widespread success in the Middle East.
-
E.
Al-Layl
Al-Layl is the Arabic term for "The Night," commonly recognized as the title of the 92nd chapter (sūrah) of the Qur’an.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fdc1b881909d1c82c4c66a195a |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa94e9b548190bec74e6d9790d241 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.