Triple
T5424617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Withering |
E121331
|
entity |
| Predicate | hasNotableHistoricalAssociationWith |
P38896
|
FINISHED |
| Object | medical use of digitalis |
—
|
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: medical use of digitalis | Statement: [Withering, hasNotableHistoricalAssociationWith, medical use of digitalis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableHistoricalAssociationWith Context triple: [Withering, hasNotableHistoricalAssociationWith, medical use of digitalis]
-
A.
hasNotableHistoricalAssociation
chosen
Indicates that there is a significant connection between an entity and an important historical event, figure, period, or development.
-
B.
hasHistoricalSignificance
Indicates that something possesses notable importance or influence within a historical context or period.
-
C.
notableBuildingAssociated
Indicates a relationship where a notable or significant building is associated with, connected to, or relevant to a given entity.
-
D.
historicalNotability
Indicates that an entity is recognized as having significant importance, influence, or prominence in history.
-
E.
hasNotablePersonRaisedHere
Indicates that a notable person spent their formative or upbringing years in the referenced place.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.