Triple
T27675247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chebyshev polynomials of the first kind |
E697760
|
entity |
| Predicate | T_1(x) |
P74059
|
FINISHED |
| Object | x |
—
|
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: x | Statement: [Chebyshev polynomials of the first kind, T_1(x), x]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: T_1(x) Context triple: [Chebyshev polynomials of the first kind, T_1(x), x]
-
A.
isT1
chosen
Indicates that one entity is classified or designated as type T1 in relation to another entity or context.
-
B.
tenthTerm
Indicates that one entity is the tenth term in a sequence or ordered list associated with another entity.
-
C.
ctangleFunction
Indicates a relationship where a function is implemented or documented using the CWEB/ctangle literate programming system, linking the function to its ctangle-based source.
-
D.
baseOfExponentialTerm
Indicates that one quantity serves as the base in an exponential expression or term involving another quantity as the exponent.
-
E.
firstTier
Indicates that one entity occupies the highest or primary level, rank, or priority relative to others in a hierarchical structure.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f63532e35881909bfe0a8a315e2efe |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:43 p.m.