Triple
T26109414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charley Lau |
E658642
|
entity |
| Predicate | numberOfMLBSeasonsPlayed |
P41214
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [Charley Lau, numberOfMLBSeasonsPlayed, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMLBSeasonsPlayed Context triple: [Charley Lau, numberOfMLBSeasonsPlayed, 11]
-
A.
numberOfMLBSeasons
chosen
Indicates the total count of seasons an entity has participated in Major League Baseball.
-
B.
numberOfGamesPlayedInMLB
Indicates the total count of games an entity has participated in within Major League Baseball.
-
C.
activeYearsMLB
Indicates the span of years during which an entity was actively participating in Major League Baseball.
-
D.
sportNumberOfSeasonsInMinors
Indicates the total number of seasons an athlete spent playing in minor or lower-level leagues before or outside of major-league competition.
-
E.
worldSeriesAppearancesAsPlayer
Indicates the number of times an individual has appeared as a player in World Series games.
- 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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 26, 2026, 8:01 p.m.