Triple
T18459071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katelyn Ohashi |
E450982
|
entity |
| Predicate | juniorAllAroundTitle |
P131731
|
FINISHED |
| Object | 2011 American Cup champion |
—
|
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: 2011 American Cup champion | Statement: [Katelyn Ohashi, juniorAllAroundTitle, 2011 American Cup champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: juniorAllAroundTitle Context triple: [Katelyn Ohashi, juniorAllAroundTitle, 2011 American Cup champion]
-
A.
WorldJuniorMedal
Indicates that an entity has won a medal at a World Junior Championship event.
-
B.
juvenileChampion
Indicates that an entity holds a championship or top-ranking status specifically within a juvenile or youth category.
-
C.
juniorWorldNo
Indicates that one world or context is considered junior, subordinate, or of lower precedence relative to another world or context.
-
D.
representsInJuniorCategory
Indicates that an entity serves as a representative or participant in a junior-level category within a given context or organization.
-
E.
juniorLevelEvent
Indicates that an event is classified as being at a junior or entry level in terms of required experience or seniority.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7cdb5c8190a399f0e4052f7d1f |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:33 a.m.