Triple
T4332312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concrete Blonde |
E96780
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Rory Kaplan
Rory Kaplan is a musician best known for his work as a member of the alternative rock band Concrete Blonde.
|
E434588
|
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: Rory Kaplan | Statement: [Concrete Blonde, hasMember, Rory Kaplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rory Kaplan Context triple: [Concrete Blonde, hasMember, Rory Kaplan]
-
A.
Greg Kaplan
Greg Kaplan is an economist known for his research on household heterogeneity, consumption, and macroeconomic policy, and for his contributions to modern macroeconomic modeling.
-
B.
Nick Hurran
Nick Hurran is a British television and film director known for his work on series such as Doctor Who and Sherlock.
-
C.
Jonathan Kaplan
Jonathan Kaplan is an American film and television director best known for his work on the acclaimed 1988 courtroom drama "The Accused."
-
D.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
-
E.
Jeremy Adelman
Jeremy Adelman is a composer best known for creating music for television, including the series "Hart of Dixie."
- 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: Rory Kaplan Triple: [Concrete Blonde, hasMember, Rory Kaplan]
Generated description
Rory Kaplan is a musician best known for his work as a member of the alternative rock band Concrete Blonde.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rory Kaplan Target entity description: Rory Kaplan is a musician best known for his work as a member of the alternative rock band Concrete Blonde.
-
A.
Greg Kaplan
Greg Kaplan is an economist known for his research on household heterogeneity, consumption, and macroeconomic policy, and for his contributions to modern macroeconomic modeling.
-
B.
Nick Hurran
Nick Hurran is a British television and film director known for his work on series such as Doctor Who and Sherlock.
-
C.
Jonathan Kaplan
Jonathan Kaplan is an American film and television director best known for his work on the acclaimed 1988 courtroom drama "The Accused."
-
D.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
-
E.
Jeremy Adelman
Jeremy Adelman is a composer best known for creating music for television, including the series "Hart of Dixie."
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514dc588819086a4c6d585c1b5b1 |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4f309988190abda9b4e6a422260 |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5e56c540481909ac061c6aa620a38 |
completed | March 14, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e5c583ec8190a821f5b67e28af14 |
completed | March 14, 2026, 10:48 p.m. |
Created at: March 12, 2026, 11:13 p.m.