Triple
T14013840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Stern |
E337155
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bill Stern |
E337155
|
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: Bill Stern | Statement: [Bill Stern, name, Bill Stern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Stern Context triple: [Bill Stern, name, Bill Stern]
-
A.
Bill Stern
chosen
Bill Stern was a prominent American sportscaster and radio announcer best known for his dramatic play-by-play coverage and storytelling during the golden age of sports broadcasting.
-
B.
Al From
Al From is an American political strategist best known for leading the centrist Democratic Leadership Council and shaping the modern “New Democrat” movement.
-
C.
Ed McNeil
Ed McNeil is a character in the 1958 Western film "Terror in a Texas Town," which centers on conflict, land disputes, and frontier justice in a small Texas community.
-
D.
Don Francis
Don Francis is an American epidemiologist and public health official known for his early work on HIV/AIDS research and prevention.
-
E.
Johnny Most
Johnny Most was a legendary American sports broadcaster best known as the longtime, passionately partisan radio voice of the Boston Celtics.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f37d11481909159bdb9e1e8d38e |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.