Triple
T21512966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Label Society |
E530773
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Evan Hennessy
Evan Hennessy is a musician known for his role as a member of the heavy metal band Black Label Society.
|
E1487797
|
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: Evan Hennessy | Statement: [Black Label Society, hasMember, Evan Hennessy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Hennessy Context triple: [Black Label Society, hasMember, Evan Hennessy]
-
A.
Evan Daugherty
Evan Daugherty is an American screenwriter best known for his work on major Hollywood films such as "Snow White and the Huntsman," "Divergent," and "Teenage Mutant Ninja Turtles."
-
B.
Evan Harris
Evan Harris is a British Liberal Democrat politician and former Member of Parliament known for his advocacy on civil liberties, science, and secularism.
-
C.
Evan Martin
Evan Martin is a software engineer known for his work on the Ninja build system and contributions to large-scale C++ development tooling.
-
D.
Evan McPherson
Evan McPherson is an American football placekicker in the NFL, best known for his clutch postseason performances with the Cincinnati Bengals.
-
E.
Evan Dunsky
Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
- 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: Evan Hennessy Triple: [Black Label Society, hasMember, Evan Hennessy]
Generated description
Evan Hennessy is a musician known for his role as a member of the heavy metal band Black Label Society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Evan Hennessy Target entity description: Evan Hennessy is a musician known for his role as a member of the heavy metal band Black Label Society.
-
A.
Evan Daugherty
Evan Daugherty is an American screenwriter best known for his work on major Hollywood films such as "Snow White and the Huntsman," "Divergent," and "Teenage Mutant Ninja Turtles."
-
B.
Evan Harris
Evan Harris is a British Liberal Democrat politician and former Member of Parliament known for his advocacy on civil liberties, science, and secularism.
-
C.
Evan Martin
Evan Martin is a software engineer known for his work on the Ninja build system and contributions to large-scale C++ development tooling.
-
D.
Evan McPherson
Evan McPherson is an American football placekicker in the NFL, best known for his clutch postseason performances with the Cincinnati Bengals.
-
E.
Evan Dunsky
Evan Dunsky is a television writer and producer best known for co-creating the dark comedy-drama series "Nurse Jackie."
- 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.