Triple
T18642719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fed |
E455728
|
entity |
| Predicate | bearerBackhandStyle |
P44417
|
FINISHED |
| Object | one-handed backhand |
—
|
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: one-handed backhand | Statement: [Fed, bearerBackhandStyle, one-handed backhand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerBackhandStyle Context triple: [Fed, bearerBackhandStyle, one-handed backhand]
-
A.
playsBackhand
chosen
Indicates that an entity performs or executes a backhand stroke or action, typically in a sport such as tennis.
-
B.
bearerStance
Indicates the attitude, position, or viewpoint that the bearer holds toward a referenced subject or issue.
-
C.
boxingStance
Indicates the specific posture or positioning a boxer adopts while preparing to fight or engage in boxing actions.
-
D.
battingHand
Indicates the handedness a player uses when batting, such as right-handed, left-handed, or switch.
-
E.
bearerPosition
Indicates the spatial or positional relationship of a bearer (holder or carrier) relative to the item or entity it bears.
- F. None of above.
Provenance (3 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. |
Created at: April 10, 2026, 11:47 a.m.