Triple
T23894936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Geller |
E600876
|
entity |
| Predicate | aspiresTo |
P32840
|
FINISHED |
| Object | attend Harvard University |
—
|
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: attend Harvard University | Statement: [Paris Geller, aspiresTo, attend Harvard University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aspiresTo Context triple: [Paris Geller, aspiresTo, attend Harvard University]
-
A.
aimsToServeAs
Indicates that one entity has the intention or purpose of functioning in the role or capacity of another entity.
-
B.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
C.
statedAsGoalFor
chosen
Indicates that something has been explicitly declared or identified as a goal for a particular entity or context.
-
D.
seeksToObtain
Indicates an entity’s intention or effort to acquire, gain, or come into possession of another entity or resource.
-
E.
aimsToDevelop
Indicates an entity’s intention or effort to create, improve, or bring about another entity, outcome, or capability.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdd857d081908740c4abb246c2ba |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.