Triple
T27373154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Fuchs |
E690383
|
entity |
| Predicate | softwareLibraryDeveloped |
P115831
|
FINISHED |
| Object | script.aculo.us |
—
|
NE NERFINISHED |
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: script.aculo.us | Statement: [Thomas Fuchs, softwareLibraryDeveloped, script.aculo.us]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softwareLibraryDeveloped Context triple: [Thomas Fuchs, softwareLibraryDeveloped, script.aculo.us]
-
A.
softwareLibraryCreated
chosen
Indicates that an entity (typically a person or organization) is responsible for creating a particular software library.
-
B.
developedSoftware
Indicates that one entity created, programmed, or significantly contributed to the creation of a particular software system or application for another entity or purpose.
-
C.
softwareLibrary
Indicates that one entity is a software library that provides code, functionality, or services used by another entity.
-
D.
scriptDevelopedFor
Indicates that a script was specifically created or developed for use by, or in the context of, a particular entity or purpose.
-
E.
developedWith
Indicates that something was created, built, or produced using a specified tool, technology, method, or collaborator.
- 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_69ef51ff826081909e42c8e2bfb97941 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 12:19 p.m.