Triple
T13953021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samantha Morton |
E335579
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Control |
E631073
|
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: Control | Statement: [Samantha Morton, notableWork, Control]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Control Context triple: [Samantha Morton, notableWork, Control]
-
A.
Control
Control is Janet Jackson's breakthrough 1986 studio album that established her as a major pop and R&B star through its assertive themes and innovative production.
-
B.
Control
"Control" is the second studio album by American pop group Dream Street, showcasing their teen pop sound in the early 2000s.
-
C.
Control
chosen
Control is a critically acclaimed third-person action-adventure video game known for its surreal narrative, paranormal abilities, and striking brutalist setting.
-
D.
Control
Control is a competitive objective-based multiplayer game mode in Call of Duty where teams alternate between attacking and defending limited capture points with a shared pool of lives.
-
E.
Control
"Control" is a song by the American R&B singer Empress.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e146720819085d0f5eae558b7a4 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd323e89948190bb280e93e2058c0a |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 9, 2026, 10:17 p.m.