Triple
T29754271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talbot hound |
E752986
|
entity |
| Predicate | primarySenseUsed |
P131315
|
FINISHED |
| Object | smell |
—
|
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: smell | Statement: [Talbot hound, primarySenseUsed, smell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySenseUsed Context triple: [Talbot hound, primarySenseUsed, smell]
-
A.
primarySense
Indicates that one sense or meaning of an entity is designated as its main or most central sense among possible alternatives.
-
B.
secondarySense
Indicates that one sense or meaning of an expression is a secondary or less primary interpretation relative to another sense.
-
C.
basicSense
Indicates that one entity represents the most fundamental or primary meaning or interpretation of another entity.
-
D.
primaryUseOf
chosen
Indicates that one entity serves as the main or principal function, purpose, or application of another entity.
-
E.
primaryUseStart
Indicates the point in time or event at which the primary use or main function of something begins.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a0186cde2fc819080d7c06503dcc479 |
completed | May 11, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_6a0183ff6d34819080c8ad7c11611a36 |
completed | May 11, 2026, 7:23 a.m. |
Created at: April 28, 2026, 7:55 p.m.