Triple
T27427230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill McGowan |
E690522
|
entity |
| Predicate | numberOfWorldSeriesWorked |
P119134
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Bill McGowan, numberOfWorldSeriesWorked, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorldSeriesWorked Context triple: [Bill McGowan, numberOfWorldSeriesWorked, 8]
-
A.
worldSeriesPlayed
Indicates that a particular World Series event was played or took place in a given year or context.
-
B.
numberOfWorldSeriesTitles
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
-
C.
workedInWorldSeries
chosen
Indicates that a person participated in a professional capacity (such as player, coach, or umpire) in at least one World Series baseball championship.
-
D.
managedInWorldSeries
Indicates that a person served as a manager for a team participating in a World Series.
-
E.
playedInWorldSeriesWith
Indicates that two or more players were teammates in at least one World Series.
- 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_69ef52003fb48190b0f1295246182a86 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
Created at: April 27, 2026, 12:41 p.m.