Triple
T850293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Madison Memorial Building |
E18369
|
entity |
| Predicate | honorsPosition |
P2354
|
FINISHED |
| Object | fourth president of the United States |
—
|
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: fourth president of the United States | Statement: [James Madison Memorial Building, honorsPosition, fourth president of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsPosition Context triple: [James Madison Memorial Building, honorsPosition, fourth president of the United States]
-
A.
honors
chosen
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
B.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
C.
leadershipPosition
Indicates that one entity holds a role of authority, guidance, or decision-making responsibility over others within an organization, group, or context.
-
D.
honorLevel
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
-
E.
graduatedWithHonors
Indicates that an entity completed an academic program with a distinction or honors-level achievement according to the institution’s criteria.
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac215194819099e6bc1b5df58fb3 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa81ef348190b067f817574e9efe |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.