Triple
T5804428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Coleman |
E128706
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | BEA Systems |
E22303
|
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: BEA Systems | Statement: [Bill Coleman, employer, BEA Systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BEA Systems Context triple: [Bill Coleman, employer, BEA Systems]
-
A.
BEA Systems
chosen
BEA Systems was a software company best known for its enterprise middleware and application server products that played a major role in early Java-based web and enterprise computing.
-
B.
BEA
BEA is a U.S. government agency that produces key economic statistics, including measures of national income, output, and growth.
-
C.
BEA
BEA is the French Bureau of Enquiry and Analysis for Civil Aviation Safety, the government agency responsible for investigating civil aviation accidents and incidents.
-
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.
BEA AquaLogic
BEA AquaLogic is a service-oriented architecture (SOA) and middleware software suite from BEA Systems designed to integrate, orchestrate, and manage enterprise applications and services.
- 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_69c00846a0d881909e46841f8e156b64 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a17f77fc8190b2ad6f6c45d96e43 |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:52 p.m.