Triple
T20611316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Nations |
E506454
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Bullet Rogan |
—
|
NE NERFINISHED |
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: Bullet Rogan | Statement: [All Nations, notablePlayer, Bullet Rogan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bullet Rogan Context triple: [All Nations, notablePlayer, Bullet Rogan]
-
A.
Bullet Rogan
chosen
Bullet Rogan was a legendary two-way star of Negro league baseball, renowned as both a dominant pitcher and powerful hitter in the early 20th century.
-
B.
Barrett Doss
Barrett Doss is an American actress and singer best known for her starring role as firefighter Victoria Hughes on the television drama series "Station 19."
-
C.
Hunter Burgan
Hunter Burgan is an American musician best known as the longtime bassist for the rock band AFI.
-
D.
Matthew Malone
Matthew Malone is the central protagonist of the work "Game On," around whom the story’s main events and character development revolve.
-
E.
John "Breacher" Wharton
John "Breacher" Wharton is the tough, battle-hardened leader of an elite DEA special operations team portrayed by Arnold Schwarzenegger in the action thriller film "Sabotage."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad81bdc8190aa6f6164f406a468 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.