Triple
T21945286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farah Naaz |
E541917
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Farah Naaz |
—
|
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: Farah Naaz | Statement: [Farah Naaz, name, Farah Naaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farah Naaz Context triple: [Farah Naaz, name, Farah Naaz]
-
A.
Farah Naaz
chosen
Farah Naaz is an Indian film actress known for her prominent roles in Hindi cinema during the late 1980s and early 1990s.
-
B.
Gauhar Ara Begum
Gauhar Ara Begum was a Mughal princess, the daughter of Emperor Shah Jahan and his famed consort Mumtaz Mahal, and a member of the imperial family during the empire’s zenith in 17th-century India.
-
C.
Shibani Khan
Shibani Khan, also known as Muhammad Shaybani, was a prominent Uzbek ruler and military leader who founded the Shaybanid dynasty in Central Asia in the late 15th and early 16th centuries.
-
D.
Rubaiya Sayeed
Rubaiya Sayeed is an Indian doctor who became widely known after her high-profile 1989 kidnapping by militants in Jammu and Kashmir, an event that had major political repercussions in the region.
-
E.
Nida Fazli
Nida Fazli was a renowned Indian Urdu-Hindi poet and lyricist known for his poignant, humanistic verses and memorable film songs.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.