Triple
T6864875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keefer |
E158374
|
entity |
| Predicate | hasAchievementType |
P74191
|
FINISHED |
| Object | track performance |
—
|
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: track performance | Statement: [Keefer, hasAchievementType, track performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAchievementType Context triple: [Keefer, hasAchievementType, track performance]
-
A.
hasRelatedTrophy
Indicates that there exists a trophy that is associated with, linked to, or relevant to the given entity.
-
B.
isLifetimeAchievementType
Indicates that an award, honor, or recognition is of the lifetime achievement type, typically granted for sustained contributions over an extended period rather than for a single work or event.
-
C.
hasFounderAchievement
Indicates that an entity has received or holds a notable achievement, recognition, or award specifically in its role as a founder.
-
D.
hasTrophyStatus
Indicates that an entity possesses a particular trophy-related status or classification.
-
E.
associatedAchievement
Indicates a relationship where one entity is linked to, or recognized in connection with, a particular achievement.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6da3b5510819093c5893ea92ac025 |
completed | March 27, 2026, 7:27 p.m. |
Created at: March 27, 2026, 2:21 p.m.