Triple
T20553750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mufti Mohammad Sayeed |
E504663
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Girishma Sayeed
Girishma Sayeed is known as the wife of the late Mufti Mohammad Sayeed, former Chief Minister of Jammu and Kashmir and a prominent Indian politician.
|
E1437137
|
NE FINISHED |
How this triple was built (4 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: Girishma Sayeed | Statement: [Mufti Mohammad Sayeed, spouse, Girishma Sayeed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girishma Sayeed Context triple: [Mufti Mohammad Sayeed, spouse, Girishma Sayeed]
-
A.
Shaan Hathiramani
Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
-
B.
Anisha Dadia
Anisha Dadia is a voice actor and audiobook narrator known for narrating Naomi Novik’s fantasy novel *A Deadly Education*.
-
C.
Nilima Sinha
Nilima Sinha is an Indian writer of children’s and young adult literature, known for her mystery and adventure novels.
-
D.
Shailen Mukherjee
Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
-
E.
Maheep Kapoor
Maheep Kapoor is an Indian jewelry designer and reality television personality known for appearing on the Netflix series "Fabulous Lives of Bollywood Wives."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Girishma Sayeed Triple: [Mufti Mohammad Sayeed, spouse, Girishma Sayeed]
Generated description
Girishma Sayeed is known as the wife of the late Mufti Mohammad Sayeed, former Chief Minister of Jammu and Kashmir and a prominent Indian politician.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Girishma Sayeed Target entity description: Girishma Sayeed is known as the wife of the late Mufti Mohammad Sayeed, former Chief Minister of Jammu and Kashmir and a prominent Indian politician.
-
A.
Shaan Hathiramani
Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
-
B.
Anisha Dadia
Anisha Dadia is a voice actor and audiobook narrator known for narrating Naomi Novik’s fantasy novel *A Deadly Education*.
-
C.
Nilima Sinha
Nilima Sinha is an Indian writer of children’s and young adult literature, known for her mystery and adventure novels.
-
D.
Shailen Mukherjee
Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
-
E.
Maheep Kapoor
Maheep Kapoor is an Indian jewelry designer and reality television personality known for appearing on the Netflix series "Fabulous Lives of Bollywood Wives."
- F. None of above. chosen
Provenance (5 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5db052c8190801e53f6148113c8 |
completed | April 20, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a573e43c8190918ce8cfbafff788 |
completed | May 16, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_6a08a72cda488190b18b50724666ae55 |
completed | May 16, 2026, 5:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a79a373481909c37da1cc810e2d9 |
completed | May 16, 2026, 5:21 p.m. |
Created at: April 16, 2026, 11:38 a.m.