Triple
T20152676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Split Enz |
E491473
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
I See Red
"I See Red" is a 1978 new wave song by New Zealand band Split Enz, known for its frenetic energy and distinctive, theatrical style.
|
E1415304
|
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: I See Red | Statement: [Split Enz, notableWork, I See Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I See Red Context triple: [Split Enz, notableWork, I See Red]
-
A.
I See the Sun
"I See the Sun" is a notable poetic work by Georgian symbolist poet Galaktion Tabidze, reflecting his lyrical style and emotional depth.
-
B.
I See Now
"I See Now" is a track featured on the comedy-rap album "Don't Quit Your Day Job!" by Kanye West.
-
C.
What I See
"What I See" is a photography book by Brooklyn Beckham showcasing his personal images and visual perspective on his life and surroundings.
-
D.
Red Red Red
"Red Red Red" is a song by American singer-songwriter Fiona Apple from her critically acclaimed album "Extraordinary Machine."
-
E.
Red (song)
"Red" is a song by American singer-songwriter Taylor Swift from her 2012 album of the same name, noted for its vivid metaphors about heartbreak and emotional turbulence.
- 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: I See Red Triple: [Split Enz, notableWork, I See Red]
Generated description
"I See Red" is a 1978 new wave song by New Zealand band Split Enz, known for its frenetic energy and distinctive, theatrical style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I See Red Target entity description: "I See Red" is a 1978 new wave song by New Zealand band Split Enz, known for its frenetic energy and distinctive, theatrical style.
-
A.
I See the Sun
"I See the Sun" is a notable poetic work by Georgian symbolist poet Galaktion Tabidze, reflecting his lyrical style and emotional depth.
-
B.
I See Now
"I See Now" is a track featured on the comedy-rap album "Don't Quit Your Day Job!" by Kanye West.
-
C.
What I See
"What I See" is a photography book by Brooklyn Beckham showcasing his personal images and visual perspective on his life and surroundings.
-
D.
Red Red Red
"Red Red Red" is a song by American singer-songwriter Fiona Apple from her critically acclaimed album "Extraordinary Machine."
-
E.
Red (song)
"Red" is a song by American singer-songwriter Taylor Swift from her 2012 album of the same name, noted for its vivid metaphors about heartbreak and emotional turbulence.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667dda9b4819097ff66bb2b50fc21 |
completed | April 20, 2026, 5:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08347176488190a701950ada041d58 |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a08357acba08190be9fcedf1ea0f19d |
completed | May 16, 2026, 9:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0836a5cfdc81908806d83acd257acd |
completed | May 16, 2026, 9:19 a.m. |
Created at: April 11, 2026, 11:34 p.m.