Triple
T3495702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death (proto-punk band) |
E73844
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
David Hackney
David Hackney was an American guitarist and songwriter best known as a founding member of the pioneering Detroit proto-punk band Death.
|
E363058
|
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: David Hackney | Statement: [Death (proto-punk band), hasMember, David Hackney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Hackney Context triple: [Death (proto-punk band), hasMember, David Hackney]
-
A.
Don Stevens
Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
-
B.
Charlie Shotwell
Charlie Shotwell is an American child actor known for roles in films such as "Captain Fantastic," "The Glass Castle," and "Troop Zero."
-
C.
Andy Lassner
Andy Lassner is a television producer best known for his long-running work on "The Ellen DeGeneres Show" and other major daytime talk shows.
-
D.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
E.
Cliff DeYoung
Cliff DeYoung is an American actor and musician known for his work in film, television, and stage since the 1970s.
- 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: David Hackney Triple: [Death (proto-punk band), hasMember, David Hackney]
Generated description
David Hackney was an American guitarist and songwriter best known as a founding member of the pioneering Detroit proto-punk band Death.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Hackney Target entity description: David Hackney was an American guitarist and songwriter best known as a founding member of the pioneering Detroit proto-punk band Death.
-
A.
Don Stevens
Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
-
B.
Charlie Shotwell
Charlie Shotwell is an American child actor known for roles in films such as "Captain Fantastic," "The Glass Castle," and "Troop Zero."
-
C.
Andy Lassner
Andy Lassner is a television producer best known for his long-running work on "The Ellen DeGeneres Show" and other major daytime talk shows.
-
D.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
E.
Cliff DeYoung
Cliff DeYoung is an American actor and musician known for his work in film, television, and stage since the 1970s.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbb06fd08190b6c1fadfce4148f0 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373cce4008190beb010b171bc4940 |
completed | March 13, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69b374a7a4fc81909cb7e36502132d12 |
completed | March 13, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3755597d8819081375fab35b75369 |
completed | March 13, 2026, 2:24 a.m. |
Created at: March 8, 2026, 3:18 p.m.