Triple
T18873440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Donoghue |
E461625
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Room |
—
|
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: Room | Statement: [Emma Donoghue, notableWork, Room]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Room Context triple: [Emma Donoghue, notableWork, Room]
-
A.
Room
"Room" is a notable work by Danny Cohen, likely recognized as a significant contribution within his creative or professional field.
-
B.
Room
"Room" is a solo studio album by American actress and singer Katey Sagal, showcasing her blend of rock, country, and blues influences.
-
C.
Room
chosen
Room is a 2015 drama film, directed by Lenny Abrahamson and acclaimed for its intense, intimate portrayal of a mother and son held in captivity and their struggle to adjust to the outside world.
-
D.
Rooms
Rooms is a section of Gertrude Stein’s experimental modernist work "Tender Buttons," characterized by its fragmented, poetic prose exploring everyday domestic spaces.
-
E.
Chambre
Chambre is the French abbreviation for the Belgian Chamber of Representatives, the lower house of the Federal Parliament of Belgium.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2ab4bb4819086ae98a38dd9b11b |
completed | April 20, 2026, 6:07 a.m. |
Created at: April 10, 2026, 11:57 a.m.