Triple
T13781432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calendar Grand Slam |
E331138
|
entity |
| Predicate | appliesToAmateurEra |
P36703
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Calendar Grand Slam, appliesToAmateurEra, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToAmateurEra Context triple: [Calendar Grand Slam, appliesToAmateurEra, true]
-
A.
amateurEra
Indicates that the subject participated in or was associated with an amateur phase or period, as opposed to a professional one.
-
B.
appliesToEra
chosen
Indicates that something is relevant, valid, or in effect during a particular historical or temporal era.
-
C.
playedWithEra
Indicates that an entity performed or was active during a specified historical or stylistic era.
-
D.
historicallyAmateurUntil
Indicates that an entity was considered amateur, rather than professional, up to a specified point in time.
-
E.
hasAmateurLevel
Indicates that an entity possesses an amateur level of skill, experience, or proficiency in a given activity or domain.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe98b5bc8190967907ec64d0317d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:11 p.m.