Triple
T19462205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omar Abdullah |
E486900
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Molly Abdullah |
—
|
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: Molly Abdullah | Statement: [Omar Abdullah, mother, Molly Abdullah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molly Abdullah Context triple: [Omar Abdullah, mother, Molly Abdullah]
-
A.
Molly Abdullah
chosen
Molly Abdullah is the wife of Indian politician and former Jammu and Kashmir Chief Minister Farooq Abdullah.
-
B.
Shabana Mahmood
Shabana Mahmood is a British Labour Party politician and barrister who has served as a Member of Parliament and held senior frontbench roles.
-
C.
Kate Moseley
Kate Moseley is the driven, once-elite figure skater character from the romantic sports film "The Cutting Edge."
-
D.
Moira Buffini
Moira Buffini is a British playwright and screenwriter known for works such as the film adaptation of "Jane Eyre" and the play "Dinner."
-
E.
Angela McCluskey
Angela McCluskey is a Scottish singer and songwriter best known as the lead vocalist of the band Wild Colonials and for her distinctive, soulful voice featured in various collaborations and film soundtracks.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633cd6c148190933b4d6bfe84cbe1 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.