Triple
T14045024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ship to Wreck |
E337934
|
entity |
| Predicate | includedInTourSetlist |
P3738
|
FINISHED |
| Object |
How Blue Tour
How Blue Tour was a concert tour by Florence + The Machine in support of their album "How Big, How Blue, How Beautiful."
|
E1076605
|
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: How Blue Tour | Statement: [Ship to Wreck, includedInTourSetlist, How Blue Tour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Blue Tour Context triple: [Ship to Wreck, includedInTourSetlist, How Blue Tour]
-
A.
Turn Blue
Turn Blue is a 2014 psychedelic and soul-influenced rock album by The Black Keys, co-produced by Danger Mouse and noted for its atmospheric, introspective sound.
-
B.
Still Blue
Still Blue is a track featured on the album "Chasing Summer" by rapper and singer SiR.
-
C.
Ultra Blue
Ultra Blue is a blue-colored variant of Monster Energy known for its lighter, berry-like flavor profile and frosty-themed branding.
-
D.
Believe in Blue
Believe in Blue is the official motto of Lake Superior State University, expressing school pride and loyalty to the institution’s colors and community.
-
E.
Black and Blue
Black and Blue is a crime novel by Scottish author Ian Rankin featuring detective Inspector Rebus as he investigates a series of complex and gritty cases in Edinburgh.
- 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: How Blue Tour Triple: [Ship to Wreck, includedInTourSetlist, How Blue Tour]
Generated description
How Blue Tour was a concert tour by Florence + The Machine in support of their album "How Big, How Blue, How Beautiful."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: How Blue Tour Target entity description: How Blue Tour was a concert tour by Florence + The Machine in support of their album "How Big, How Blue, How Beautiful."
-
A.
Turn Blue
Turn Blue is a 2014 psychedelic and soul-influenced rock album by The Black Keys, co-produced by Danger Mouse and noted for its atmospheric, introspective sound.
-
B.
Still Blue
Still Blue is a track featured on the album "Chasing Summer" by rapper and singer SiR.
-
C.
Ultra Blue
Ultra Blue is a blue-colored variant of Monster Energy known for its lighter, berry-like flavor profile and frosty-themed branding.
-
D.
Believe in Blue
Believe in Blue is the official motto of Lake Superior State University, expressing school pride and loyalty to the institution’s colors and community.
-
E.
Black and Blue
Black and Blue is a crime novel by Scottish author Ian Rankin featuring detective Inspector Rebus as he investigates a series of complex and gritty cases in Edinburgh.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc34148348190a8c67e035646e431 |
completed | May 6, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_69fc4300948881908784c5ad99188ad2 |
completed | May 7, 2026, 7:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444630408190b368611373265973 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:20 p.m.