Triple
T34287570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prize Cases |
E879781
|
entity |
| Predicate | involvesPresident |
P19554
|
FINISHED |
| Object | Abraham Lincoln |
—
|
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: Abraham Lincoln | Statement: [Prize Cases, involvesPresident, Abraham Lincoln]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesPresident Context triple: [Prize Cases, involvesPresident, Abraham Lincoln]
-
A.
presidentParticipation
Indicates that an entity participates in an event, activity, or role specifically in the capacity of a president.
-
B.
USPresidentInvolved
chosen
Indicates that a President of the United States is directly involved in, associated with, or plays a significant role in the specified event, action, or relationship.
-
C.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
-
D.
usedByPresident
Indicates that something is utilized or employed by a president.
-
E.
associatedPresident
Indicates a relationship where a person, organization, event, or entity is linked or connected to a specific president in a relevant or significant way.
- 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_69f349b6df1c81908e5e5b6c2ab6409b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: May 1, 2026, 1:57 a.m.