Triple
T14317950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelli Finglass |
E355006
|
entity |
| Predicate | genreOfWorkManaged |
P113954
|
FINISHED |
| Object | professional sports cheerleading |
—
|
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: professional sports cheerleading | Statement: [Kelli Finglass, genreOfWorkManaged, professional sports cheerleading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfWorkManaged Context triple: [Kelli Finglass, genreOfWorkManaged, professional sports cheerleading]
-
A.
genreOfWorkContributedTo
Indicates that an entity contributed to a work belonging to a specified genre.
-
B.
genreOfWorkEdited
Indicates that an entity has served as an editor for a work belonging to a specified genre.
-
C.
genreOfWorkAbout
Indicates that a work is about a particular genre, expressing that the work’s subject matter or focus concerns that genre.
-
D.
genreOfWorkSetting
Indicates the genre category that characterizes the setting in which a work takes place.
-
E.
genreOfWorkPerformedIn
Indicates that a specified genre characterizes the type of work that is performed in a particular event, context, or setting.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883a93548190ac671b001d15d0bd |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e9ded24819099200349cf80e068 |
completed | April 14, 2026, 12:10 p.m. |
Created at: April 10, 2026, 1:13 a.m.