Triple
T31307019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rookie of the Month (MLB) |
E798358
|
entity |
| Predicate | timeSpanPerAward |
P80107
|
FINISHED |
| Object | one calendar month |
—
|
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: one calendar month | Statement: [Rookie of the Month (MLB), timeSpanPerAward, one calendar month]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSpanPerAward Context triple: [Rookie of the Month (MLB), timeSpanPerAward, one calendar month]
-
A.
typicalAwardDuration
chosen
Indicates the usual length of time for which an award is granted or remains valid.
-
B.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
-
C.
maximumAgeAtAward
Indicates the highest age a recipient can be (or was) at the time an award is given.
-
D.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
E.
timeLagBetweenPublicationAndAward
Indicates the duration of time that passes between when something is published and when it receives an award.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 29, 2026, 9:14 p.m.