Triple
T21512963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Label Society |
E530773
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Fred Durkin
Fred Durkin is a musician best known as a member of the heavy metal band Black Label Society.
|
E1487796
|
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: Fred Durkin | Statement: [Black Label Society, hasMember, Fred Durkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Durkin Context triple: [Black Label Society, hasMember, Fred Durkin]
-
A.
Tom Hertz
Tom Hertz is a television writer and producer best known for creating the Fox sitcom "Sons of Tucson."
-
B.
Joe Coughlin
Joe Coughlin is a Prohibition-era World War I veteran who becomes a Boston outlaw and rum-running gangster in Dennis Lehane’s crime novel "Live by Night."
-
C.
Michael Cavanaugh
Michael Cavanaugh is a musician best known for his work as a former member of the Canadian rock band Barenaked Ladies.
-
D.
Michael Cavanaugh
Michael Cavanaugh is an American actor known for his numerous film and television roles, often portraying authoritative or professional characters.
-
E.
Geno Auriemma
Geno Auriemma is a Hall of Fame college basketball coach renowned for building the University of Connecticut women’s program into a dominant national powerhouse with multiple NCAA championships.
- 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: Fred Durkin Triple: [Black Label Society, hasMember, Fred Durkin]
Generated description
Fred Durkin is a musician best known as a member of the heavy metal band Black Label Society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fred Durkin Target entity description: Fred Durkin is a musician best known as a member of the heavy metal band Black Label Society.
-
A.
Tom Hertz
Tom Hertz is a television writer and producer best known for creating the Fox sitcom "Sons of Tucson."
-
B.
Joe Coughlin
Joe Coughlin is a Prohibition-era World War I veteran who becomes a Boston outlaw and rum-running gangster in Dennis Lehane’s crime novel "Live by Night."
-
C.
Michael Cavanaugh
Michael Cavanaugh is a musician best known for his work as a former member of the Canadian rock band Barenaked Ladies.
-
D.
Michael Cavanaugh
Michael Cavanaugh is an American actor known for his numerous film and television roles, often portraying authoritative or professional characters.
-
E.
Geno Auriemma
Geno Auriemma is a Hall of Fame college basketball coach renowned for building the University of Connecticut women’s program into a dominant national powerhouse with multiple NCAA championships.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea8779c081908171c58d345d54ae |
completed | April 23, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e145ac5c8190a05cc2a80d28cac3 |
completed | May 17, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a09e1fc4f7881909e198768cdb43747 |
completed | May 17, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09e2c86858819092216c12d8aa3348 |
completed | May 17, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:25 p.m.