Triple
T8786189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Rain |
E209047
|
entity |
| Predicate | hasNotableMusician |
P17435
|
FINISHED |
| Object |
Larry Fast
Larry Fast is an American synthesizer pioneer and electronic musician best known for his Synergy albums and his innovative keyboard work with artists like Peter Gabriel.
|
E757496
|
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: Larry Fast | Statement: [Red Rain, hasNotableMusician, Larry Fast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Fast Context triple: [Red Rain, hasNotableMusician, Larry Fast]
-
A.
Larry Fortensky
Larry Fortensky was an American construction worker best known as the seventh and final husband of actress Elizabeth Taylor.
-
B.
Ben Schnetzer
Ben Schnetzer is an American actor known for his roles in films such as "Pride," "The Book Thief," and the fantasy epic "Warcraft."
-
C.
Craig Storper
Craig Storper is a screenwriter best known for writing the Western film "Open Range," directed by and starring Kevin Costner.
-
D.
Edward Pawley
Edward Pawley was an American actor known for his work in 1930s and 1940s films and radio dramas.
-
E.
Scott Ehrlich
Scott Ehrlich is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
- 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: Larry Fast Triple: [Red Rain, hasNotableMusician, Larry Fast]
Generated description
Larry Fast is an American synthesizer pioneer and electronic musician best known for his Synergy albums and his innovative keyboard work with artists like Peter Gabriel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larry Fast Target entity description: Larry Fast is an American synthesizer pioneer and electronic musician best known for his Synergy albums and his innovative keyboard work with artists like Peter Gabriel.
-
A.
Larry Fortensky
Larry Fortensky was an American construction worker best known as the seventh and final husband of actress Elizabeth Taylor.
-
B.
Ben Schnetzer
Ben Schnetzer is an American actor known for his roles in films such as "Pride," "The Book Thief," and the fantasy epic "Warcraft."
-
C.
Craig Storper
Craig Storper is a screenwriter best known for writing the Western film "Open Range," directed by and starring Kevin Costner.
-
D.
Edward Pawley
Edward Pawley was an American actor known for his work in 1930s and 1940s films and radio dramas.
-
E.
Scott Ehrlich
Scott Ehrlich is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f758d348190804942d985f2337c |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51fded4c81909725807e4855c4a2 |
completed | April 3, 2026, 5:37 a.m. |
| NEDg | Description generation | batch_69cf55ec47f88190878724c4245410de |
completed | April 3, 2026, 5:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf5679f85c8190aebb19ad364fe202 |
completed | April 3, 2026, 5:56 a.m. |
Created at: March 30, 2026, 6:42 p.m.