Triple
T5214918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Dolls |
E117726
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Peter Jordan
Peter Jordan is a musician best known as a member of the influential proto-punk/glam rock band the New York Dolls.
|
E503742
|
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: Peter Jordan | Statement: [New York Dolls, member, Peter Jordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Jordan Context triple: [New York Dolls, member, Peter Jordan]
-
A.
Luke Murray
Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
-
B.
Michael Elias
Michael Elias is an American screenwriter, actor, and director best known for co-writing the hit comedy film "The Jerk" starring Steve Martin.
-
C.
Paul Devorski
Paul Devorski is a retired Canadian National Hockey League referee known for officiating numerous high-profile games over his long career.
-
D.
Sean Douglas
Sean Douglas is an American songwriter and record producer known for co-writing hit pop songs for artists such as Demi Lovato, Jason Derulo, and Thomas Rhett.
-
E.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
- 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: Peter Jordan Triple: [New York Dolls, member, Peter Jordan]
Generated description
Peter Jordan is a musician best known as a member of the influential proto-punk/glam rock band the New York Dolls.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Jordan Target entity description: Peter Jordan is a musician best known as a member of the influential proto-punk/glam rock band the New York Dolls.
-
A.
Luke Murray
Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
-
B.
Michael Elias
Michael Elias is an American screenwriter, actor, and director best known for co-writing the hit comedy film "The Jerk" starring Steve Martin.
-
C.
Paul Devorski
Paul Devorski is a retired Canadian National Hockey League referee known for officiating numerous high-profile games over his long career.
-
D.
Sean Douglas
Sean Douglas is an American songwriter and record producer known for co-writing hit pop songs for artists such as Demi Lovato, Jason Derulo, and Thomas Rhett.
-
E.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a928dfc8190971a9e28d5c10446 |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefe325988190b35e3502f147c9c2 |
completed | March 21, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69bef0b2b6448190be1c465738be741b |
completed | March 21, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef121817c8190aebd27ee34c0a419 |
completed | March 21, 2026, 7:27 p.m. |
Created at: March 20, 2026, 1:48 p.m.