Triple
T6106626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amen Corner |
E136131
|
entity |
| Predicate | isTurningPointFor |
P676
|
FINISHED |
| Object | Masters Tournament leaderboard changes |
—
|
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: Masters Tournament leaderboard changes | Statement: [Amen Corner, isTurningPointFor, Masters Tournament leaderboard changes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTurningPointFor Context triple: [Amen Corner, isTurningPointFor, Masters Tournament leaderboard changes]
-
A.
turningPointIn
chosen
Indicates that an event or situation serves as a decisive change or pivotal moment within a larger process, narrative, or development.
-
B.
turningPointAgainst
Indicates a pivotal moment or event that shifts momentum or advantage against a particular entity or side.
-
C.
isMajorPeakOf
Indicates that one peak is a primary or most prominent summit within a specified mountain, range, or geographic area.
-
D.
hasInflectionPointsAt
Indicates that a function or curve has inflection points located at the specified positions or values.
-
E.
isReferencePointFor
Indicates that one entity serves as a positional or conceptual basis used to locate, measure, or interpret another entity.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b806bd48190b6f020af3391adb8 |
completed | March 22, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.