Triple
T13027970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Chemical Romance |
E326355
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object |
Bob Bryar
Bob Bryar is an American drummer best known for his tenure with the rock band My Chemical Romance during their mid-2000s peak.
|
E1021393
|
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: Bob Bryar | Statement: [My Chemical Romance, formerMember, Bob Bryar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Bryar Context triple: [My Chemical Romance, formerMember, Bob Bryar]
-
A.
Paul Bransom
Paul Bransom was an American illustrator and wildlife artist best known for his detailed animal drawings in early 20th-century books and magazines.
-
B.
Charles Roane
Charles Roane is a songwriter best known for co-writing the R&B hit "My Love Is Like...Wo" performed by Mýa.
-
C.
Charles Roane
Charles Roane is a music producer known for his work on the album "Back to Basics."
-
D.
Gart Williams
Gart Williams is the harried, middle-aged advertising executive who longs for escape and tranquility in the classic The Twilight Zone episode "A Stop at Willoughby."
-
E.
Tony Banta
Tony Banta is a kind-hearted but somewhat dim-witted boxer and cab driver portrayed by Tony Danza on the classic sitcom "Taxi."
- 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: Bob Bryar Triple: [My Chemical Romance, formerMember, Bob Bryar]
Generated description
Bob Bryar is an American drummer best known for his tenure with the rock band My Chemical Romance during their mid-2000s peak.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Bryar Target entity description: Bob Bryar is an American drummer best known for his tenure with the rock band My Chemical Romance during their mid-2000s peak.
-
A.
Paul Bransom
Paul Bransom was an American illustrator and wildlife artist best known for his detailed animal drawings in early 20th-century books and magazines.
-
B.
Charles Roane
Charles Roane is a music producer known for his work on the album "Back to Basics."
-
C.
Charles Roane
Charles Roane is a songwriter best known for co-writing the R&B hit "My Love Is Like...Wo" performed by Mýa.
-
D.
Gart Williams
Gart Williams is the harried, middle-aged advertising executive who longs for escape and tranquility in the classic The Twilight Zone episode "A Stop at Willoughby."
-
E.
Tony Banta
Tony Banta is a kind-hearted but somewhat dim-witted boxer and cab driver portrayed by Tony Danza on the classic sitcom "Taxi."
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e269c18481908e0b46c298a946ca |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e32bf5508190b4dc58971f8f64d0 |
completed | May 3, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e407dd988190b928b8931985a815 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 8:53 p.m.