Triple
T19462212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omar Abdullah |
E486900
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Payal Abdullah
Payal Abdullah is an Indian public figure known primarily as the former wife of politician and former Jammu and Kashmir Chief Minister Omar Abdullah.
|
E1377064
|
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: Payal Abdullah | Statement: [Omar Abdullah, spouse, Payal Abdullah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Payal Abdullah Context triple: [Omar Abdullah, spouse, Payal Abdullah]
-
A.
Palak Patel
Palak Patel is a film producer known for working on major Hollywood fantasy and action films, including "Snow White and the Huntsman."
-
B.
Anisha Dadia
Anisha Dadia is a voice actor and audiobook narrator known for narrating Naomi Novik’s fantasy novel *A Deadly Education*.
-
C.
Shailen Mukherjee
Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
-
D.
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."
-
E.
Annet Mahendru
Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
- 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: Payal Abdullah Triple: [Omar Abdullah, spouse, Payal Abdullah]
Generated description
Payal Abdullah is an Indian public figure known primarily as the former wife of politician and former Jammu and Kashmir Chief Minister Omar Abdullah.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Payal Abdullah Target entity description: Payal Abdullah is an Indian public figure known primarily as the former wife of politician and former Jammu and Kashmir Chief Minister Omar Abdullah.
-
A.
Palak Patel
Palak Patel is a film producer known for working on major Hollywood fantasy and action films, including "Snow White and the Huntsman."
-
B.
Anisha Dadia
Anisha Dadia is a voice actor and audiobook narrator known for narrating Naomi Novik’s fantasy novel *A Deadly Education*.
-
C.
Shailen Mukherjee
Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
-
D.
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."
-
E.
Annet Mahendru
Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633cd6c148190933b4d6bfe84cbe1 |
completed | April 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b3c3b948190b48b1aa046efb29a |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073c29752c8190b9ba3b0ebf5e5dd5 |
completed | May 15, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073d25ba448190a62777b68d2f3136 |
completed | May 15, 2026, 3:35 p.m. |
Created at: April 10, 2026, 1:38 p.m.