Triple
T19436663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purify |
E486239
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Rational Software |
—
|
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: Rational Software | Statement: [Purify, ownedBy, Rational Software]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rational Software Context triple: [Purify, ownedBy, Rational Software]
-
A.
Rational Software
chosen
Rational Software was a prominent software company best known for its software development tools and methodologies, including Rational Rose and the Rational Unified Process (RUP), before being acquired by IBM.
-
B.
Eiffel Software
Eiffel Software is a software company best known for developing the Eiffel programming language and tools that emphasize object-oriented design and software reliability.
-
C.
GemTalk Systems
GemTalk Systems is a software company best known for maintaining and advancing the GemStone/S object database and Smalltalk application server platform.
-
D.
PeopleSoft
PeopleSoft is an enterprise software company best known for its human resources and financial management applications, later integrated into Oracle’s product portfolio.
-
E.
Siebel Systems
Siebel Systems was a leading enterprise software company best known for pioneering customer relationship management (CRM) solutions for large organizations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633618c2881908f3d2a9cabb02289 |
completed | April 20, 2026, 2:08 p.m. |
Created at: April 10, 2026, 1:38 p.m.