Triple
T2898948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dev Patel |
E62609
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Slumdog Millionaire |
E48010
|
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: Slumdog Millionaire | Statement: [Dev Patel, notableWork, Slumdog Millionaire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slumdog Millionaire Context triple: [Dev Patel, notableWork, Slumdog Millionaire]
-
A.
Slumdog Millionaire
chosen
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.
-
B.
The King’s Speech
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.
-
C.
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.
-
D.
Spotlight
"Spotlight" is an Academy Award–winning investigative drama film about The Boston Globe's uncovering of widespread child abuse within the Catholic Church.
-
E.
Spotlight
Spotlight is Snapchat’s short-form video platform that showcases user-generated content in a TikTok-style, vertically scrolling feed.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0ad7bbc8190822738baa6935b74 |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055fe13448190bf25832219fd5f0c |
completed | March 10, 2026, 5:33 p.m. |
Created at: March 6, 2026, 10:10 p.m.