Triple
T15359572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mika Miko |
E367253
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Bleached
Bleached is a Los Angeles-based punk rock band known for its catchy, garage-influenced sound and energetic live performances.
|
E1153260
|
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: Bleached | Statement: [Mika Miko, associatedAct, Bleached]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bleached Context triple: [Mika Miko, associatedAct, Bleached]
-
A.
Bleed
"Bleed" is a highly influential and technically demanding extreme metal song, best known from the Swedish band Meshuggah.
-
B.
Blonded
Blonded is Frank Ocean’s independent music label and creative platform used to release his work and related projects.
-
C.
Blanke
Blanke is a surname of German origin borne by various notable individuals, including figures in the arts and entertainment.
-
D.
You Blew
"You Blew" is a song best known as a notable single from the album "You're Gonna Get Rocked!" by La Toya Jackson.
-
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: Bleached Triple: [Mika Miko, associatedAct, Bleached]
Generated description
Bleached is a Los Angeles-based punk rock band known for its catchy, garage-influenced sound and energetic live performances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bleached Target entity description: Bleached is a Los Angeles-based punk rock band known for its catchy, garage-influenced sound and energetic live performances.
-
A.
Bleed
"Bleed" is a highly influential and technically demanding extreme metal song, best known from the Swedish band Meshuggah.
-
B.
Blonded
Blonded is Frank Ocean’s independent music label and creative platform used to release his work and related projects.
-
C.
Blanke
Blanke is a surname of German origin borne by various notable individuals, including figures in the arts and entertainment.
-
D.
You Blew
"You Blew" is a song best known as a notable single from the album "You're Gonna Get Rocked!" by La Toya Jackson.
-
E.
Black and Blue
"Black and Blue" is a bestselling novel by Anna Quindlen that explores domestic abuse and a woman's struggle to escape and rebuild her life.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b47f20081909ef7b077458d1510 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0dde2ec48190aac70b0513fb1847 |
completed | May 9, 2026, 10:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0e5eabf08190811d8a91bfe0de76 |
completed | May 9, 2026, 10:37 a.m. |
Created at: April 10, 2026, 3:18 a.m.