Triple
T14738634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal Maroons |
E346282
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Nels Stewart |
E1172818
|
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: Nels Stewart | Statement: [Montreal Maroons, notablePlayer, Nels Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nels Stewart Context triple: [Montreal Maroons, notablePlayer, Nels Stewart]
-
A.
Nels Stewart
chosen
Nels Stewart was a Canadian professional ice hockey center and prolific goal scorer who became a Hockey Hall of Famer after starring in the NHL during the 1920s and 1930s.
-
B.
Kent Nelson
Kent Nelson is the DC Comics sorcerer who becomes Doctor Fate, a powerful mystical hero and longtime member of the Justice Society of America.
-
C.
Hal Stewart
Hal Stewart is the cameraman-turned-supervillain known as Tighten in the animated film "Megamind."
-
D.
Merrill Stubing
Merrill Stubing is the dignified, paternal captain of the cruise ship at the center of the classic television series "The Love Boat."
-
E.
Walter Nelson
Walter Nelson was an attorney who served on the defense team in the landmark Ossian Sweet murder trial, which challenged racial injustice in 1920s Detroit.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73264848190be23c5f0260cbe13 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf0743288190b3bec8c48b5c7893 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 1:29 a.m.