Triple
T36716768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babe Didrikson Zaharias |
E906932
|
entity |
| Predicate | professionalDebutInGolf |
P186235
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [Babe Didrikson Zaharias, professionalDebutInGolf, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalDebutInGolf Context triple: [Babe Didrikson Zaharias, professionalDebutInGolf, 1930s]
-
A.
professionalDebutFederation
Indicates the organization or federation in which an individual made their first official professional appearance.
-
B.
professionAfterGolf
Indicates that one entity’s profession or career role occurs after a period in which they were involved in golf (e.g., as a player, coach, or professional).
-
C.
professionalDebutOpponent
Indicates the opponent against whom an individual made their professional debut.
-
D.
majorChampionshipSince
Indicates that an entity has won at least one major championship title starting from a specified time or year.
-
E.
roleInTigerWoodsCareer
Indicates the specific function, position, or contribution an entity has had within the context of Tiger Woods’s professional golf career.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabacc1481909e839454ce1057f7 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7c9f4c7c48190ba918d8d5dc8dfd9 |
completed | May 3, 2026, 10:19 p.m. |
Created at: May 3, 2026, 4:12 p.m.