Triple
T6515365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogers Hornsby |
E148242
|
entity |
| Predicate | numberOfBattingTitles |
P17266
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Rogers Hornsby, numberOfBattingTitles, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBattingTitles Context triple: [Rogers Hornsby, numberOfBattingTitles, 7]
-
A.
battingTitleWins
chosen
Indicates the number of times a player has won a batting title in a given league or competition.
-
B.
battingTitleYear
Indicates the specific year in which an entity received or held a batting title.
-
C.
numberOfWorldSeriesTitles
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
-
D.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
E.
numberOfABATitles
Indicates the total count of ABA (American Bar Association) titles associated with a given 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0d395081908fe6b1f9a912f095 |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.