Triple
T11524098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Blass |
E273244
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Steve Blass |
E273244
|
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: Steve Blass | Statement: [Steve Blass, nickname, Steve Blass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Blass Context triple: [Steve Blass, nickname, Steve Blass]
-
A.
Steve Blass
chosen
Steve Blass is a former Pittsburgh Pirates pitcher best known for his standout role in their 1971 World Series championship and his long tenure as a team broadcaster.
-
B.
Brian Blosil
Brian Blosil is an American record producer and the former husband of entertainer Marie Osmond.
-
C.
Phil Dusenberry
Phil Dusenberry was an influential American advertising executive and creative director, best known for his groundbreaking work at BBDO and for shaping major campaigns for brands like Pepsi.
-
D.
Kevin Biegel
Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
-
E.
Brian Souter
Brian Souter is a Scottish businessman best known as the co-founder of the Stagecoach Group and a prominent figure in the UK transport industry.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd26648819083de19bcddf8ad69 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8b5ad3c81909c38c83804b7d337 |
completed | May 3, 2026, 2:53 a.m. |
Created at: April 8, 2026, 9:37 p.m.