Triple
T13196051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petty Officer First Class |
E314113
|
entity |
| Predicate | evaluationFactor |
P96882
|
FINISHED |
| Object | performance evaluations |
—
|
LITERAL 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: performance evaluations | Statement: [Petty Officer First Class, evaluationFactor, performance evaluations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evaluationFactor Context triple: [Petty Officer First Class, evaluationFactor, performance evaluations]
-
A.
evaluationAspect
chosen
Indicates the specific dimension or criterion of performance or quality that is being assessed within an evaluation.
-
B.
evaluationFunction
Indicates a relationship where a specific procedure or rule assigns a value or score to an input, typically to assess its quality, utility, or desirability.
-
C.
evaluationBasis
Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
-
D.
evaluationRole
Indicates the role or capacity in which an entity participates in an evaluation or assessment process.
-
E.
ratingContext
Indicates the situational or contextual factors under which a rating is given or applies.
- F. None of above.
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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:16 p.m.