Triple
T37129513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peabody's Improbable History |
E919478
|
entity |
| Predicate | hasHistoricalFiguresDepicted |
P53504
|
FINISHED |
| Object | George Washington |
—
|
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: George Washington | Statement: [Peabody's Improbable History, hasHistoricalFiguresDepicted, George Washington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalFiguresDepicted Context triple: [Peabody's Improbable History, hasHistoricalFiguresDepicted, George Washington]
-
A.
involvesHistoricalFigures
Indicates that the subject is associated with or includes participation by notable individuals from history.
-
B.
numberOfHistoricalFiguresAssociated
Indicates the count of historical figures that are linked or connected to a given entity.
-
C.
hasAllegoricalDepictionsBy
Indicates that one entity is represented through allegorical depictions created by another entity.
-
D.
usesRealHistoricalFigures
chosen
Indicates that the work includes or depicts actual people from real history rather than entirely fictional characters.
-
E.
basedOnHistoricalFigure
Indicates that something is derived from, inspired by, or modeled after a real historical person.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:15 p.m.