Triple
T20123221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Thorns of Life |
E490664
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Dan Black
Dan Black is a musician best known as a member of the punk rock band The Thorns of Life.
|
E1414095
|
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: Dan Black | Statement: [The Thorns of Life, hasMember, Dan Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Black Context triple: [The Thorns of Life, hasMember, Dan Black]
-
A.
David Blackman
David Blackman is a film and television producer known for his executive production work on music-related documentaries and projects.
-
B.
Neil Black
Neil Black was a distinguished British oboist renowned for his solo performances, chamber music collaborations, and influential recordings in the mid-20th century.
-
C.
Tony Black
Tony Black is a Scottish jockey renowned for his successful career in horse racing, particularly in National Hunt events.
-
D.
Nick Black
Nick Black is a prominent British health services researcher and academic known for his contributions to evaluating and improving healthcare systems and policy.
-
E.
Brandon Blackstock
Brandon Blackstock is an American talent manager and music industry executive best known for his former marriage to singer and television personality Kelly Clarkson.
- 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: Dan Black Triple: [The Thorns of Life, hasMember, Dan Black]
Generated description
Dan Black is a musician best known as a member of the punk rock band The Thorns of Life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Black Target entity description: Dan Black is a musician best known as a member of the punk rock band The Thorns of Life.
-
A.
David Blackman
David Blackman is a film and television producer known for his executive production work on music-related documentaries and projects.
-
B.
Neil Black
Neil Black was a distinguished British oboist renowned for his solo performances, chamber music collaborations, and influential recordings in the mid-20th century.
-
C.
Tony Black
Tony Black is a Scottish jockey renowned for his successful career in horse racing, particularly in National Hunt events.
-
D.
Nick Black
Nick Black is a prominent British health services researcher and academic known for his contributions to evaluating and improving healthcare systems and policy.
-
E.
Brandon Blackstock
Brandon Blackstock is an American talent manager and music industry executive best known for his former marriage to singer and television personality Kelly Clarkson.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6674054188190a15d55a73e86d143 |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0834674f38819083ee73b5b64e2f6e |
completed | May 16, 2026, 9:09 a.m. |
| NEDg | Description generation | batch_6a0834ed79488190aca4ec32a3c0763e |
completed | May 16, 2026, 9:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08358d52a08190b4361485744c774c |
completed | May 16, 2026, 9:14 a.m. |
Created at: April 11, 2026, 11:30 p.m.