Triple
T21768941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fellow of the American Mathematical Society |
E537369
|
entity |
| Predicate | hasFirstCohortYear |
P145883
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Fellow of the American Mathematical Society, hasFirstCohortYear, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstCohortYear Context triple: [Fellow of the American Mathematical Society, hasFirstCohortYear, 2013]
-
A.
hasTypicalFirstCohortSize
Indicates the usual or standard number of individuals in the first cohort associated with an entity.
-
B.
hasParentCohort
Indicates that one cohort is the direct parent or higher-level grouping of another cohort in a hierarchical structure.
-
C.
hasFirstProofYear
Indicates the year in which something was first proven or formally demonstrated to be true.
-
D.
firstScreeningYear
Indicates the year in which an entity (such as a film or show) was first publicly screened or premiered.
-
E.
hasAssociatedYear
Indicates that an entity is linked to a specific year that is relevant to it (e.g., creation, occurrence, or reference year).
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031ac10808190837a0f69c4f8a02d |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 6:51 p.m.