Triple
T35040981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milk Street |
E1011068
|
entity |
| Predicate | hasHistoricalFigureAssociation |
P26467
|
FINISHED |
| Object | Benjamin Franklin |
—
|
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: Benjamin Franklin | Statement: [Milk Street, hasHistoricalFigureAssociation, Benjamin Franklin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalFigureAssociation Context triple: [Milk Street, hasHistoricalFigureAssociation, Benjamin Franklin]
-
A.
historicalFigureAssociated
chosen
Indicates that there is a notable connection or linkage between an entity and a historical figure, such as influence, collaboration, representation, or involvement in the figure’s life or legacy.
-
B.
eraOfHistoricalAssociation
Indicates the historical time period during which the association or relationship between the entities took place.
-
C.
historicalEntityAssociated
Indicates that one entity has a documented historical connection, relevance, or involvement with another entity.
-
D.
involvesHistoricalFigures
Indicates that the subject is associated with or includes participation by notable individuals from history.
-
E.
numberOfHistoricalFiguresAssociated
Indicates the count of historical figures that are linked or connected to a given 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
Created at: May 3, 2026, 4:01 p.m.