Triple
T16813568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byron Bancroft Johnson |
E408679
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Ban Johnson |
E70796
|
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: Ban Johnson | Statement: [Byron Bancroft Johnson, nickname, Ban Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ban Johnson Context triple: [Byron Bancroft Johnson, nickname, Ban Johnson]
-
A.
Ban Johnson
chosen
Ban Johnson was an influential early 20th-century baseball executive who played a key role in establishing the American League as a major league rival to the National League.
-
B.
Frank S. Nugent
Frank S. Nugent was an American screenwriter and former film critic best known for his influential collaborations with director John Ford on classic Westerns.
-
C.
Al Johnson
Al Johnson is a musical artist known for performing the song "Purple on Time."
-
D.
Al Johnson
Al Johnson is an American musician best known as a member of the experimental rock band U.S. Maple.
-
E.
Al Johnson
Al Johnson is a musician known for his work with the band Long Hair in Three Stages, particularly around their 1995 releases.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e01fb8819081cf2c08f29448da |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b292a5888190812539b14eb77f34 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.