Triple
T13910956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lettuce |
E334490
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object |
Rage!
Rage! is a funk-driven studio album by the American jam band Lettuce, showcasing their energetic, groove-heavy instrumental style.
|
E1067186
|
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: Rage! | Statement: [Lettuce, album, Rage!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rage! Context triple: [Lettuce, album, Rage!]
-
A.
The Rage
The Rage is a 2007 American horror film directed by special effects artist Robert Kurtzman, known for its gruesome practical effects and over-the-top gore.
-
B.
Rages
Rages is an alternative name for the figure or entity known as Rayy.
-
C.
Rage
Rage is a psychological horror novel by Stephen King, originally published under the pseudonym Richard Bachman, that follows a troubled high school student who takes his class hostage.
-
D.
Rage
Rage is a Japanese crime drama film featuring Ken Watanabe in a central role, exploring the aftermath of a brutal murder and the corrosive effects of suspicion on human relationships.
-
E.
Rage
Rage is a steel roller coaster at Adventure Island known for its steep drops and intense inversions.
- 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: Rage! Triple: [Lettuce, album, Rage!]
Generated description
Rage! is a funk-driven studio album by the American jam band Lettuce, showcasing their energetic, groove-heavy instrumental style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rage! Target entity description: Rage! is a funk-driven studio album by the American jam band Lettuce, showcasing their energetic, groove-heavy instrumental style.
-
A.
The Rage
The Rage is a 2007 American horror film directed by special effects artist Robert Kurtzman, known for its gruesome practical effects and over-the-top gore.
-
B.
Rages
Rages is an alternative name for the figure or entity known as Rayy.
-
C.
Rage
Rage is a psychological horror novel by Stephen King, originally published under the pseudonym Richard Bachman, that follows a troubled high school student who takes his class hostage.
-
D.
Rage
Rage is a Japanese crime drama film featuring Ken Watanabe in a central role, exploring the aftermath of a brutal murder and the corrosive effects of suspicion on human relationships.
-
E.
Rage
Rage is a steel roller coaster at Adventure Island known for its steep drops and intense inversions.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2723461881908376b5509ee0d530 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c72879e48190ac01d0a2023b098c |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c7b9e4888190822501d439df142a |
completed | May 3, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c83e31d4819094209406fc99456a |
completed | May 3, 2026, 10:12 p.m. |
Created at: April 9, 2026, 10:16 p.m.