Triple
T15257347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mihr-un-Nissa |
E364681
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Mehr-un-Nissa |
E360811
|
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: Mehr-un-Nissa | Statement: [Mihr-un-Nissa, alsoKnownAs, Mehr-un-Nissa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mehr-un-Nissa Context triple: [Mihr-un-Nissa, alsoKnownAs, Mehr-un-Nissa]
-
A.
Mehr-un-Nissa
chosen
Mehr-un-Nissa, later known as Nur Jahan, was a powerful and influential Mughal empress renowned for her political acumen, cultural patronage, and significant impact on the reign of Emperor Jahangir.
-
B.
Masmuda
Masmuda were a major Berber tribal confederation of the High Atlas and western Morocco that played a central role in the rise of the Almohad movement.
-
C.
Tajlu Khanum
Tajlu Khanum was a prominent Safavid royal consort and queen mother, best known as the influential mother of Shah Tahmasp I of Iran.
-
D.
Gulbahar
Gulbahar is a residential neighborhood in Karachi, Pakistan, known for its dense urban setting and local commercial activity.
-
E.
Gulbahar
Gulbahar is a town in northeastern Afghanistan situated along the Panjshir River and known as a local commercial and agricultural center.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084b97908190b3bf7ea7bd75bdc0 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f7bd2081909c003deb3a692f18 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:13 a.m.