Triple
T20523491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mittag-Leffler function |
E503871
|
entity |
| Predicate | seriesDefinition |
P140413
|
FINISHED |
| Object | E_{α}(z)=∑_{k=0}^{∞} z^{k}/Γ(α k+1) |
—
|
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: E_{α}(z)=∑_{k=0}^{∞} z^{k}/Γ(α k+1) | Statement: [Mittag-Leffler function, seriesDefinition, E_{α}(z)=∑_{k=0}^{∞} z^{k}/Γ(α k+1)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesDefinition
Context triple: [Mittag-Leffler function, seriesDefinition, E_{α}(z)=∑_{k=0}^{∞} z^{k}/Γ(α k+1)]
-
A.
seriesType
Indicates the classification or category of a series that an entity belongs to or is associated with.
-
B.
seriesDescriptor
Indicates that an entity serves as a descriptive or identifying label for a series to which another entity belongs.
-
C.
seriesWith
Indicates that one entity is part of, or grouped together in, the same series or sequence as another entity.
-
D.
seriesBy
Indicates that one entity is the creator, author, or originator of a series to which the other entity belongs.
-
E.
seriesRepresentation
Indicates that one entity is a representation, installment, or component within a larger series associated with another entity.
- F. None of above. chosen
Provenance (4 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f471f18819091e8a57161fe0225 |
completed | April 20, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:36 a.m.