Triple
T5743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the United States |
E112
|
entity |
| Predicate | leaderOf |
P307
|
FINISHED |
| Object | executive branch of the United States government |
—
|
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: executive branch of the United States government | Statement: [President of the United States, leaderOf, executive branch of the United States government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leaderOf Context triple: [President of the United States, leaderOf, executive branch of the United States government]
-
A.
headOfGovernment
chosen
Indicates that one entity serves as the chief executive authority or leader of the government of another entity.
-
B.
appointedBy
Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
-
C.
headOfGovernmentTitle
Indicates the official title held by the person who serves as the head of a government.
-
D.
firstInOfficeTo
Indicates that one entity was the earliest or first to hold a particular office or position in relation to another entity or context.
-
E.
hasChancellor
Indicates that an entity holds the position or role of chancellor for another 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_69a238d6b47881909e68288aed2fd858 |
completed | Feb. 28, 2026, 12:37 a.m. |
| NER | Named-entity recognition | batch_69a23ae754fc8190812506055ce94672 |
completed | Feb. 28, 2026, 12:46 a.m. |
| PD | Predicate disambiguation | batch_69a239997f888190bf941b74fbc9c15f |
completed | Feb. 28, 2026, 12:40 a.m. |
Created at: Feb. 28, 2026, 12:40 a.m.