Triple
T16627397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelter Records |
E403984
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object |
Alan Gerber
Alan Gerber is an American singer-songwriter and multi-instrumentalist known for his work in rock and blues, including recordings for Shelter Records.
|
E1409464
|
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: Alan Gerber | Statement: [Shelter Records, notableArtist, Alan Gerber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Gerber Context triple: [Shelter Records, notableArtist, Alan Gerber]
-
A.
Ken Kramer
Ken Kramer is a theatre professional best known for establishing the Persephone Theatre, a prominent regional theatre company in Saskatoon, Saskatchewan.
-
B.
Allen Boretz
Allen Boretz was an American playwright and screenwriter best known for his work in mid-20th-century theater and film comedies.
-
C.
Tom Garfinkel
Tom Garfinkel is a sports executive best known for leading the business operations and strategic development of the NFL’s Miami Dolphins and their home stadium.
-
D.
William Rosenberg
William Rosenberg was an American entrepreneur best known for creating the coffee and doughnut chain that became Dunkin' Donuts.
-
E.
Irving Gertz
Irving Gertz was an American film composer known for scoring mid-20th-century Hollywood movies, particularly war and science fiction films.
- 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: Alan Gerber Triple: [Shelter Records, notableArtist, Alan Gerber]
Generated description
Alan Gerber is an American singer-songwriter and multi-instrumentalist known for his work in rock and blues, including recordings for Shelter Records.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alan Gerber Target entity description: Alan Gerber is an American singer-songwriter and multi-instrumentalist known for his work in rock and blues, including recordings for Shelter Records.
-
A.
Ken Kramer
Ken Kramer is a theatre professional best known for establishing the Persephone Theatre, a prominent regional theatre company in Saskatoon, Saskatchewan.
-
B.
Allen Boretz
Allen Boretz was an American playwright and screenwriter best known for his work in mid-20th-century theater and film comedies.
-
C.
Tom Garfinkel
Tom Garfinkel is a sports executive best known for leading the business operations and strategic development of the NFL’s Miami Dolphins and their home stadium.
-
D.
William Rosenberg
William Rosenberg was an American entrepreneur best known for creating the coffee and doughnut chain that became Dunkin' Donuts.
-
E.
Irving Gertz
Irving Gertz was an American film composer known for scoring mid-20th-century Hollywood movies, particularly war and science fiction films.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e2683481908c9a5ed895a09a6e |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0815e456ec8190986280b85fc017c7 |
completed | May 16, 2026, 6:59 a.m. |
| NEDg | Description generation | batch_6a081a539a7c819089d8a308102e7d20 |
completed | May 16, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a081ab0e7208190b6020f9f9974084b |
completed | May 16, 2026, 7:20 a.m. |
Created at: April 10, 2026, 5:17 a.m.