Triple
T1675111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Black |
E36213
|
entity |
| Predicate | EP |
P15272
|
FINISHED |
| Object |
RE / BL
RE / BL is a 2017 extended play by American singer Rebecca Black that showcases her evolution from viral fame to more mature, electropop-influenced music.
|
E189561
|
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: RE / BL | Statement: [Rebecca Black, EP, RE / BL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RE / BL Context triple: [Rebecca Black, EP, RE / BL]
-
A.
BL
BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
-
B.
(RED)
(RED) is a global charity initiative and brand that partners with companies to raise funds and awareness to fight AIDS and other preventable diseases, particularly in Africa.
-
C.
Black-and-Red
Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
-
D.
RB
RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
-
E.
JBLU
JBLU is the stock ticker symbol for JetBlue Airways, a major U.S.-based low-cost airline.
- 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: RE / BL Triple: [Rebecca Black, EP, RE / BL]
Generated description
RE / BL is a 2017 extended play by American singer Rebecca Black that showcases her evolution from viral fame to more mature, electropop-influenced music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RE / BL Target entity description: RE / BL is a 2017 extended play by American singer Rebecca Black that showcases her evolution from viral fame to more mature, electropop-influenced music.
-
A.
BL
BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
-
B.
(RED)
(RED) is a global charity initiative and brand that partners with companies to raise funds and awareness to fight AIDS and other preventable diseases, particularly in Africa.
-
C.
Black-and-Red
Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
-
D.
RB
RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
-
E.
JBLU
JBLU is the stock ticker symbol for JetBlue Airways, a major U.S.-based low-cost airline.
- 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6247ec408190bc25d694b3238fa4 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71b5729c8190b410893d62bedb13 |
completed | March 8, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_69ad728cb27c8190802b30afc5e259e2 |
completed | March 8, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad72fa21208190b596bfdfc69043bd |
completed | March 8, 2026, 1 p.m. |
Created at: March 4, 2026, 7:29 p.m.