Triple
T20450270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toni Stone |
E501630
|
entity |
| Predicate | brokeGenderBarrierIn |
P34601
|
FINISHED |
| Object | professional baseball |
—
|
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 baseball | Statement: [Toni Stone, brokeGenderBarrierIn, professional baseball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brokeGenderBarrierIn Context triple: [Toni Stone, brokeGenderBarrierIn, professional baseball]
-
A.
hasGenderBarrierBroken
chosen
Indicates that a previously existing gender-based barrier or limitation has been overcome or removed in the given context.
-
B.
brokeRacialBarriersWith
Indicates that one entity challenged and overcame existing racial barriers or segregation in collaboration with another entity, leading to increased racial inclusion or integration.
-
C.
brokeSoundBarrier
Indicates that an entity achieved a speed exceeding the speed of sound, thereby breaking the sound barrier.
-
D.
gaveBreakthroughTo
Indicates that one entity provided another entity with a decisive insight, discovery, or advancement that significantly improved their progress or understanding.
-
E.
brokeSoundBarrierDate
Indicates the date on which an entity first exceeded the speed of sound.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d0145d881908587b56c52aeea09 |
completed | April 20, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:32 a.m.