Triple
T35979420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marian McCargo |
E1040519
|
entity |
| Predicate | typeOfTennisPlayer |
P33092
|
FINISHED |
| Object | champion |
—
|
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: champion | Statement: [Marian McCargo, typeOfTennisPlayer, champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTennisPlayer Context triple: [Marian McCargo, typeOfTennisPlayer, champion]
-
A.
roleInTennis
Indicates the specific function or position an entity holds within the context of tennis (e.g., player, coach, umpire).
-
B.
grandSlamHitter
Indicates that the subject is a baseball player who has hit at least one grand slam (a home run with the bases loaded).
-
C.
grandSlamType
Indicates that one entity is classified as a specific type or category of Grand Slam event or achievement in relation to another entity.
-
D.
typeOfAthlete
chosen
Indicates that one entity is an athlete and the other specifies the kind or category of athlete they are.
-
E.
eraOfSport
Indicates the historical period or era during which a particular sport, sporting event, or athlete is primarily associated or took place.
- 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a020ab9630c8190a55efd5704cc6043 |
completed | May 11, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_6a020800e2b88190a1a37e710d8c92bf |
completed | May 11, 2026, 4:46 p.m. |
Created at: May 3, 2026, 4:07 p.m.