Triple
T23035226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaista Khan |
E573575
|
entity |
| Predicate | sister |
P14414
|
FINISHED |
| Object | Mumtaz Mahal |
—
|
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: Mumtaz Mahal | Statement: [Shaista Khan, sister, Mumtaz Mahal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mumtaz Mahal Context triple: [Shaista Khan, sister, Mumtaz Mahal]
-
A.
Mumtaz Mahal
Mumtaz Mahal was the beloved wife of Mughal emperor Shah Jahan, whose death inspired the construction of the Taj Mahal as her mausoleum.
-
B.
Mumtaz Mahal Begum
chosen
Mumtaz Mahal Begum was a Mughal royal woman best known as the mother of Prince Mirza Jahangir during the late Mughal period in India.
-
C.
Mumtaz Khan
Mumtaz Khan is a member of the musical group LP3, contributing as part of the band’s core lineup.
-
D.
Mumtaz-un-Nissa Begum
Mumtaz-un-Nissa Begum was a Mughal princess and royal consort associated with the later Mughal imperial family in India.
-
E.
Mumtaz
Mumtaz is the central bar dancer and emotionally complex protagonist of the Indian film "Chandni Bar," whose life reflects the harsh realities of Mumbai's underworld and exploitation.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1850df7fc81909ee522d99d96af0d |
completed | April 29, 2026, 4:11 a.m. |
Created at: April 17, 2026, 3:53 p.m.