Triple
T8552439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HP BASIC environments |
E202474
|
entity |
| Predicate | programmingLanguage |
P1592
|
FINISHED |
| Object | BASIC |
E50813
|
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: BASIC | Statement: [HP BASIC environments, programmingLanguage, BASIC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BASIC Context triple: [HP BASIC environments, programmingLanguage, BASIC]
-
A.
BASIC
chosen
BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
-
B.
Basic
Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
-
C.
Basic
Basic is a 2003 mystery-thriller film directed by John McTiernan, centered on a complex investigation into the disappearance of U.S. Army Rangers during a training mission in Panama.
-
D.
Home Basic
Home Basic is an entry-level edition of the Windows Vista operating system designed for basic home computing needs with limited multimedia and advanced features.
-
E.
BASICs
BASICs are the key safety performance measures used by the U.S. Federal Motor Carrier Safety Administration to evaluate and monitor motor carriers and drivers under its Compliance, Safety, Accountability program.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe8882704819094b688d46169433a |
completed | March 31, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dc7f6fc8190addd5d2bbe1f4408 |
completed | April 2, 2026, 1:23 p.m. |
Created at: March 30, 2026, 6:19 p.m.