Triple
T23465823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charl Schwartzel |
E569099
|
entity |
| Predicate | bestMajorResult |
P152381
|
FINISHED |
| Object | Masters Tournament champion 2011 |
—
|
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 champion 2011 | Statement: [Charl Schwartzel, bestMajorResult, Masters Tournament champion 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestMajorResult Context triple: [Charl Schwartzel, bestMajorResult, Masters Tournament champion 2011]
-
A.
bestSubject
Indicates that the subject is considered the most outstanding or highest-performing among a set of comparable subjects.
-
B.
collegeMajor
Indicates that a person’s primary field of academic study at a college or university is a specified subject or discipline.
-
C.
majorResult
Indicates that one entity is a primary or most significant outcome, effect, or consequence resulting from another entity or event.
-
D.
majorFor
Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
-
E.
otherMajors
Indicates that an entity has additional academic majors beyond its primary or currently referenced major.
- F. None of above. chosen
Provenance (4 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6faaf8c8190b4fd191c54e1acea |
completed | April 29, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:54 p.m.