Triple
T5572280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dial Records |
E146229
|
entity |
| Predicate | recordedArtist |
P1363
|
FINISHED |
| Object |
Allen Eager
Allen Eager was an American jazz tenor saxophonist associated with the bebop era, known for his work in the 1940s and 1950s.
|
E543221
|
NE FINISHED |
How this triple was built (4 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: Allen Eager | Statement: [Dial Records, recordedArtist, Allen Eager]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allen Eager Context triple: [Dial Records, recordedArtist, Allen Eager]
-
A.
Don Bailey
Don Bailey is an architect best known for designing the Perth Concert Hall in Western Australia.
-
B.
Robin Yount
Robin Yount is a Hall of Fame former Major League Baseball shortstop and center fielder who spent his entire 20-year career with the Milwaukee Brewers and won two American League MVP awards.
-
C.
Darryl Moore
Darryl Moore is a writer best known for his work on the Christina Aguilera song "Dirrty."
-
D.
Dan Meuser
Dan Meuser is a Republican politician and businessman serving as a U.S. Representative from Pennsylvania.
-
E.
Rex Scouten
Rex Scouten was a longtime White House staff member who served multiple presidents in key roles overseeing the executive mansion’s operations and preservation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Allen Eager Triple: [Dial Records, recordedArtist, Allen Eager]
Generated description
Allen Eager was an American jazz tenor saxophonist associated with the bebop era, known for his work in the 1940s and 1950s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allen Eager Target entity description: Allen Eager was an American jazz tenor saxophonist associated with the bebop era, known for his work in the 1940s and 1950s.
-
A.
Don Bailey
Don Bailey is an architect best known for designing the Perth Concert Hall in Western Australia.
-
B.
Robin Yount
Robin Yount is a Hall of Fame former Major League Baseball shortstop and center fielder who spent his entire 20-year career with the Milwaukee Brewers and won two American League MVP awards.
-
C.
Darryl Moore
Darryl Moore is a writer best known for his work on the Christina Aguilera song "Dirrty."
-
D.
Dan Meuser
Dan Meuser is a Republican politician and businessman serving as a U.S. Representative from Pennsylvania.
-
E.
Rex Scouten
Rex Scouten was a longtime White House staff member who served multiple presidents in key roles overseeing the executive mansion’s operations and preservation.
- F. None of above. chosen
Provenance (5 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020518f348190879ac67dab307134 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d7e791c8190bf493d9a3334a5bd |
completed | March 22, 2026, 11:38 p.m. |
| NEDg | Description generation | batch_69c0882503cc819093f44ec056373d8c |
completed | March 23, 2026, 12:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0887afa7881908718c5ec10d932a0 |
completed | March 23, 2026, 12:25 a.m. |
Created at: March 22, 2026, 3:37 p.m.