Triple
T4778470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honus Wagner |
E106111
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Honus |
E19327
|
NE 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: Honus | Statement: [Honus Wagner, nickname, Honus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honus Context triple: [Honus Wagner, nickname, Honus]
-
A.
Honus Wagner
chosen
Honus Wagner was a legendary early 20th-century Major League Baseball shortstop, primarily for the Pittsburgh Pirates, widely regarded as one of the greatest players in baseball history.
-
B.
Harvey Fisk
Harvey Fisk was a prominent 19th-century American banker and bond dealer known for his role in financing the U.S. government during and after the Civil War.
-
C.
Bucky Harris
Bucky Harris was a Hall of Fame Major League Baseball manager and second baseman best known for leading the Washington Senators to the 1924 World Series championship as their young player-manager.
-
D.
Mookie
Mookie is the widely known nickname of American Major League Baseball star outfielder Mookie Betts.
-
E.
Jake Hoyt
Jake Hoyt is a rookie LAPD narcotics officer whose moral integrity is tested during a tumultuous day under a corrupt veteran detective in the film "Training Day."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd658942e481908570cfec77fe4a4b |
completed | March 20, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43cecc748190a410c262aa2e4b98 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:21 p.m.