Triple
T12409009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greer Garson |
E296464
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Garson |
E834188
|
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: Garson | Statement: [Greer Garson, familyName, Garson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garson Context triple: [Greer Garson, familyName, Garson]
-
A.
Garson
chosen
Garson is a masculine given name most notably associated with American writer and director Garson Kanin.
-
B.
Larimore
Larimore is a small city in eastern North Dakota, United States, known for its rural character and proximity to Grand Forks.
-
C.
Linwood
Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow area.
-
D.
Linwood
Linwood is a residential neighborhood located within the city of Milwaukie, Oregon.
-
E.
Winslow
Winslow is the main commercial and residential hub of Bainbridge Island, Washington, known for its downtown shops, restaurants, and ferry terminal connecting to Seattle.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d4b86c88190afba0de15b34eee9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6348af5a8819083a075d145b15fd4 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.