Triple
T23044328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ledaig 18 Year Old |
E573832
|
entity |
| Predicate | caskInfluence |
P62362
|
FINISHED |
| Object | sherry casks |
—
|
LITERAL 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: sherry casks | Statement: [Ledaig 18 Year Old, caskInfluence, sherry casks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caskInfluence Context triple: [Ledaig 18 Year Old, caskInfluence, sherry casks]
-
A.
caskSize
Indicates the capacity or volume associated with a particular cask.
-
B.
caskTypesUsed
chosen
Indicates that certain types of casks are used in relation to a given entity or process.
-
C.
usesMAC
Indicates that one entity employs or operates another entity via its Media Access Control (MAC) address or MAC-based mechanism.
-
D.
portraysMacintoshAs
Indicates that a subject represents or depicts the Macintosh in a particular way, role, or characterization.
-
E.
featuresInfluence
Indicates that certain features or characteristics have an effect on or contribute to changes in other features, outcomes, or behaviors.
- F. None of above.
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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18517083c8190a0850da5440e0a73 |
completed | April 29, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:54 p.m.