Triple
T12562282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GemStone/S |
E295378
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | GemTalk Systems |
E992276
|
NE 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: GemTalk Systems | Statement: [GemStone/S, ownedBy, GemTalk Systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GemTalk Systems Context triple: [GemStone/S, ownedBy, GemTalk Systems]
-
A.
GemTalk Systems
chosen
GemTalk Systems is a software company best known for maintaining and advancing the GemStone/S object database and Smalltalk application server platform.
-
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.
Taurus Systems GmbH
Taurus Systems GmbH is a German defense company specializing in the development and production of long-range precision-guided cruise missiles.
-
D.
Genesys
Genesys is a global customer experience and contact center technology company known for its cloud-based solutions that help businesses manage and optimize customer interactions.
-
E.
Wyatt Software
Wyatt Software was a software company known for employing pioneering programmer Ward Cunningham early in his career.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95494ae1c81908b9ee14b8ef92a65 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66861c7d8819090f09d4a131da402 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 11:48 p.m.