Triple
T18642103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biles (vault, Yurchenko half-on front layout half-off) |
E455713
|
entity |
| Predicate | postFlightSaltos |
P132818
|
FINISHED |
| Object | front salto |
—
|
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: front salto | Statement: [Biles (vault, Yurchenko half-on front layout half-off), postFlightSaltos, front salto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postFlightSaltos Context triple: [Biles (vault, Yurchenko half-on front layout half-off), postFlightSaltos, front salto]
-
A.
postFlightProcessing
Indicates the actions or procedures carried out after a flight has concluded, such as analysis, cleanup, or data processing related to that flight.
-
B.
leapHeight
Indicates the vertical distance an entity reaches when it jumps or leaps.
-
C.
springboardHeight
Indicates the vertical distance or elevation of a springboard relative to a reference level, such as the ground or water surface.
-
D.
backflipStatus
Indicates whether an entity is currently performing, has performed, or is expected to perform a backflip action.
-
E.
parachuteStatus
Indicates the current condition or operational state of a parachute in relation to its use or deployment.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcd6da081908030b052727f2c2f |
completed | April 19, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:47 a.m.