Triple
T32171658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hoynes |
E821722
|
entity |
| Predicate | hasAmbitionFor |
P159664
|
FINISHED |
| Object | the presidency |
—
|
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: the presidency | Statement: [John Hoynes, hasAmbitionFor, the presidency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAmbitionFor Context triple: [John Hoynes, hasAmbitionFor, the presidency]
-
A.
hasAmbitionLevel
Indicates that an entity possesses a certain degree or intensity of ambition, typically quantified or categorized as a level.
-
B.
aspiredTo
chosen
Indicates that one entity had a strong desire or ambition to achieve, become, or obtain the other entity.
-
C.
hasPlanningGoal
Indicates that an entity is associated with, or directed toward achieving, a specific planning objective or target state.
-
D.
hasFictionalGoal
Indicates that an entity is associated with a goal or objective that exists only within a fictional, imagined, or narrative context.
-
E.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba75e89481908163f7c227094a4e |
completed | May 3, 2026, 3:01 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:33 a.m.