Triple
T16009863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simone Kirby |
E388309
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Canal |
E960439
|
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 Canal | Statement: [Simone Kirby, notableWork, The Canal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Canal Context triple: [Simone Kirby, notableWork, The Canal]
-
A.
The Canal
chosen
The Canal is a 2014 Irish psychological horror film about a film archivist who becomes convinced his house is haunted after discovering disturbing footage linked to a past murder.
-
B.
Kinda Canal
Kinda Canal is a historic Swedish waterway in Östergötland that connects a series of lakes and rivers, serving both recreational boating and tourism.
-
C.
Gage Canal
Gage Canal is a historic irrigation canal in Riverside, California, that played a crucial role in developing the region’s citrus industry and agricultural growth.
-
D.
Canal
Canal is a Madrid Metro station serving as an interchange between lines 2 and 7 in the Chamberí district of Spain's capital.
-
E.
Feeder Canal
The Feeder Canal is an artificial waterway in Bristol, England, that connects the River Avon to Bristol Harbour and helps regulate water levels for the city’s docks.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1828f8c688190a6b365f9140cd2d8 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf24a9d8819083d7b11d71442da6 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.