Triple
T36593218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. twenty-dollar bill (planned redesign) |
E902724
|
entity |
| Predicate | HarrietTubmanRole |
P166566
|
FINISHED |
| Object | abolitionist |
—
|
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: abolitionist | Statement: [U.S. twenty-dollar bill (planned redesign), HarrietTubmanRole, abolitionist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HarrietTubmanRole Context triple: [U.S. twenty-dollar bill (planned redesign), HarrietTubmanRole, abolitionist]
-
A.
roleInHistoryOf
chosen
Indicates that one entity holds a specific role, contribution, or significance within the historical development or narrative of another entity.
-
B.
notableHistoricalFigureRole
Indicates that an entity is recognized as a historically significant person who played a particular role or held a specific position in history.
-
C.
roleAtAntietam
Indicates the specific role, position, or function an entity held during the Battle of Antietam.
-
D.
hasObscureHistoricalRole
Indicates that an entity plays a minor, little-known, or poorly documented role in historical events or contexts.
-
E.
Mary Todd Lincoln_role
Indicates that Mary Todd Lincoln held a particular role, position, or function in relation to another entity or context.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.