Triple
T36610853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Courtney Bruce |
E903460
|
entity |
| Predicate | playsWithHandedness |
P113428
|
FINISHED |
| Object | right-handed |
—
|
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: right-handed | Statement: [Courtney Bruce, playsWithHandedness, right-handed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsWithHandedness Context triple: [Courtney Bruce, playsWithHandedness, right-handed]
-
A.
playsWithShootingHand
chosen
Indicates that an entity performs a sport or shooting-related action using a specified dominant hand.
-
B.
carriedInRightOrLeftHand
Indicates that an entity is being held and transported either in the right hand or in the left hand of an agent.
-
C.
battingHand
Indicates the handedness a player uses when batting, such as right-handed, left-handed, or switch.
-
D.
playsWithHand
Indicates that an entity performs an action or engages in an activity using its hand.
-
E.
usesPitchingHandedness
Indicates that an entity performs pitching using a specified handedness (e.g., left-handed or right-handed).
- 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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.