Triple
T14013535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Konstanty |
E337146
|
entity |
| Predicate | seasonSaves |
P112442
|
FINISHED |
| Object | 16 (1950) |
—
|
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: 16 (1950) | Statement: [Jim Konstanty, seasonSaves, 16 (1950)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonSaves Context triple: [Jim Konstanty, seasonSaves, 16 (1950)]
-
A.
seasonSequence
Indicates the ordered succession relationship between seasons, specifying which season follows or precedes another in a temporal sequence.
-
B.
seasonAfter
Indicates that one season occurs chronologically immediately after another season in a sequence.
-
C.
season
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
-
D.
seasonLabel
Indicates the specific season (e.g., spring, summer, fall, winter, or a numbered TV season) associated with an entity.
-
E.
dstSeason
Indicates the specific season during which daylight saving time (DST) is in effect for a given context or location.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f37d11481909159bdb9e1e8d38e |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:19 p.m.