Triple
T35385753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Shaibel |
E1022787
|
entity |
| Predicate | introducesToChess |
P108138
|
FINISHED |
| Object | Beth Harmon |
—
|
NE NERFINISHED |
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: Beth Harmon | Statement: [Mr. Shaibel, introducesToChess, Beth Harmon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducesToChess Context triple: [Mr. Shaibel, introducesToChess, Beth Harmon]
-
A.
inChess
Indicates that the relationship or action occurs within the context, rules, or domain of the game of chess.
-
B.
learnedChessFrom
chosen
Indicates that one entity acquired their knowledge or skill in chess through instruction or guidance provided by another entity.
-
C.
chessRole
Indicates that one entity has a specific role or function in the context of a chess game relative to another entity.
-
D.
learnedChessAt
Indicates that one entity acquired the knowledge or skill of playing chess at, or under the instruction of, another entity or location.
-
E.
learnedChessAtAge
Indicates the age at which an entity first learned to play chess.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: May 3, 2026, 4:03 p.m.