Triple
T18360758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harve Presnell |
E439907
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Chamber |
—
|
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: The Chamber | Statement: [Harve Presnell, notableWork, The Chamber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Chamber Context triple: [Harve Presnell, notableWork, The Chamber]
-
A.
The Chamber
chosen
"The Chamber" is a 1996 legal thriller film based on John Grisham's novel, centered on a young lawyer trying to save his racist grandfather from death row.
-
B.
The Chambers
The Chambers is the English title of the work originally known as "The Rooms."
-
C.
Third Chamber
The Third Chamber is one of the specialized judicial divisions of the Court of Cassation of Belgium, responsible for handling a specific subset of high-level appellate cases within the country’s supreme court system.
-
D.
Chamber No. 9
Chamber No. 9 is a work by Jason Hunter, recognized as one of his notable creative contributions.
-
E.
Committee Room 32
Committee Room 32 is one of the designated meeting rooms in the UK House of Commons where parliamentary committees conduct their formal hearings and discussions.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516db045c8190b20c209225a53b9a |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.