Triple
T30843625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larcum Kendall |
E785576
|
entity |
| Predicate | K1UsedBy |
P24441
|
FINISHED |
| Object | James Cook |
—
|
NE NERFINISHED |
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: James Cook | Statement: [Larcum Kendall, K1UsedBy, James Cook]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: K1UsedBy Context triple: [Larcum Kendall, K1UsedBy, James Cook]
-
A.
areUsedBy
Indicates that certain entities serve as tools, resources, or means that are utilized or employed by other entities.
-
B.
wasUsedBy
chosen
Indicates that something served as a tool, resource, or means for an agent to perform an action or achieve a result.
-
C.
eraUsedIn
Indicates that something (such as a method, standard, or practice) was in active use during a specified historical or temporal era.
-
D.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
-
E.
sideUsedBy
Indicates that a particular side or aspect of something is utilized or employed by a specified entity.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:46 p.m.