Triple
T12517029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John W. Eaton |
E299213
|
entity |
| Predicate | developedSoftwareType |
P37802
|
FINISHED |
| Object | numerical computation software |
—
|
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: numerical computation software | Statement: [John W. Eaton, developedSoftwareType, numerical computation software]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedSoftwareType Context triple: [John W. Eaton, developedSoftwareType, numerical computation software]
-
A.
developedProductType
Indicates that an entity (such as a project, activity, or organization) has resulted in or produced a specific type of product.
-
B.
developedWith
Indicates that something was created, built, or produced using a specified tool, technology, method, or collaborator.
-
C.
softwareDomain
chosen
Indicates that something belongs to, operates within, or is associated with a particular area or field of software.
-
D.
developedAs
Indicates that one entity was created, designed, or evolved specifically to function as or replace another entity.
-
E.
scriptDevelopedFor
Indicates that a script was specifically created or developed for use by, or in the context of, a particular entity or purpose.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.