Triple
T12533577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guyot |
E299629
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Single Guyot |
E299629
|
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: Single Guyot | Statement: [Guyot, hasVariant, Single Guyot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Single Guyot Context triple: [Guyot, hasVariant, Single Guyot]
-
A.
Guyot
chosen
Guyot is a common vine training system in viticulture that uses one or two long canes and a replacement spur to manage grapevine growth and yield.
-
B.
Schepisi
Schepisi is a surname most notably associated with Australian film director and screenwriter Fred Schepisi.
-
C.
Polunin
Polunin is a Russian surname most notably associated with Sergei Polunin, the acclaimed and controversial ballet dancer.
-
D.
Baron Howe
Baron Howe is a British noble title historically associated with the distinguished naval commander Admiral Richard Howe.
-
E.
Serrault
Serrault is a French surname most famously borne by Michel Serrault, the acclaimed actor known for his work in film, theater, and television.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9546b8fd48190ae90e80785b2e2d1 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc9b9ec8190a25e2658d79836bc |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.