Triple
T5572282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dial Records |
E146229
|
entity |
| Predicate | recordedArtist |
P1363
|
FINISHED |
| Object |
Ike Quebec
Ike Quebec was an American jazz tenor saxophonist known for his rich, breathy tone and influential recordings in the swing and early hard bop eras.
|
E530976
|
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: Ike Quebec | Statement: [Dial Records, recordedArtist, Ike Quebec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ike Quebec Context triple: [Dial Records, recordedArtist, Ike Quebec]
-
A.
Pulaski
Pulaski is a Chicago Transit Authority Blue Line rapid transit station serving the city's West Side.
-
B.
Dix
Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
-
C.
Valcartier
Valcartier is a locality in Quebec, Canada, best known for its large Canadian Forces military base and nearby recreational facilities.
-
D.
Devers
Devers is a surname most notably associated with U.S. Army General Jacob L. Devers, a senior commander in the European Theater during World War II.
-
E.
Ike
Ike is a central protagonist in the Fire Emblem series, known as a skilled mercenary leader and one of the franchise’s most popular and recognizable heroes.
- 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: Ike Quebec Triple: [Dial Records, recordedArtist, Ike Quebec]
Generated description
Ike Quebec was an American jazz tenor saxophonist known for his rich, breathy tone and influential recordings in the swing and early hard bop eras.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ike Quebec Target entity description: Ike Quebec was an American jazz tenor saxophonist known for his rich, breathy tone and influential recordings in the swing and early hard bop eras.
-
A.
Pulaski
Pulaski is a Chicago Transit Authority Blue Line rapid transit station serving the city's West Side.
-
B.
Dix
Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
-
C.
Valcartier
Valcartier is a locality in Quebec, Canada, best known for its large Canadian Forces military base and nearby recreational facilities.
-
D.
Devers
Devers is a surname most notably associated with U.S. Army General Jacob L. Devers, a senior commander in the European Theater during World War II.
-
E.
Ike
Ike is a central protagonist in the Fire Emblem series, known as a skilled mercenary leader and one of the franchise’s most popular and recognizable heroes.
- 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_69c0284ef6e48190bae9c9a1b1d77f5d |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c037b5be3c819098c8500350267a1e |
completed | March 22, 2026, 6:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0393144248190a97d1f82b81cc868 |
completed | March 22, 2026, 6:47 p.m. |
Created at: March 22, 2026, 3:37 p.m.