Triple
T18052078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SaltStack |
E431945
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Chef |
—
|
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: Chef | Statement: [SaltStack, competesWith, Chef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chef Context triple: [SaltStack, competesWith, Chef]
-
A.
Chef
Chef is a 2014 American comedy-drama film written, directed by, and starring Jon Favreau as a chef who reinvents his career and life by starting a food truck business.
-
B.
Chef
Chef is a soulful, advice-giving school cafeteria worker in the animated series "South Park," known for his deep voice, musical interludes, and mentoring of the main children.
-
C.
Chef
chosen
Chef is a powerful configuration management and automation platform used to define infrastructure as code and manage complex server environments at scale.
-
D.
Cuoco
Cuoco is an Italian surname most prominently associated with American actress Kaley Cuoco, known for her role in the television series "The Big Bang Theory."
-
E.
Chef Tate
Chef Tate is a music producer known for contributing to 2 Chainz’s acclaimed trap album "Pretty Girls Like Trap Music."
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c0fe4f1881908fa8485cb3ccfa44 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:25 a.m.