Triple
T499032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tariq Anwar |
E10358
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The King’s Speech |
E1983
|
NE FINISHED |
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: The King’s Speech | Statement: [Tariq Anwar, notableWork, The King’s Speech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The King’s Speech Context triple: [Tariq Anwar, notableWork, The King’s Speech]
-
A.
The King’s Speech
chosen
The King’s Speech is a 2010 historical drama film that follows the future King George VI’s struggle to overcome a debilitating stammer with the help of an unorthodox speech therapist.
-
B.
The Iron Lady
The Iron Lady is the famous nickname of Margaret Thatcher, the resolute and conservative Prime Minister who led the United Kingdom from 1979 to 1990.
-
C.
Slumdog Millionaire
Slumdog Millionaire is a 2008 British drama film directed by Danny Boyle that follows a Mumbai slum dweller whose appearance on a game show reveals the story of his life.
-
D.
Spotlight
"Spotlight" is an R&B ballad by Jennifer Hudson that showcases her powerful vocals and explores themes of control and emotional struggle in a relationship.
-
E.
The Imitation Game
The Imitation Game is a 2014 historical drama film about mathematician Alan Turing and the British codebreaking efforts at Bletchley Park during World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f119b14c8190a5a6b119579c2682 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a48a786db88190bd4486159a9f96bc |
completed | March 1, 2026, 6:50 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.