Triple
T9376830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All I Want |
E225666
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Blue |
E238519
|
NE FINISHED |
How this triple was built (2 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: Blue | Statement: [All I Want, performer, Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Context triple: [All I Want, performer, Blue]
-
A.
Blue
Blue is the anthropomorphic blue horse who serves as the official mascot of the NFL’s Indianapolis Colts.
-
B.
Blue
Blue is the internal codename Microsoft used during development of the Windows 8.1 operating system update.
-
C.
Blue
"Blue" is the 1996 debut studio album by British pop group Eiffel 65, best known for featuring their international hit single "Blue (Da Ba Dee)."
-
D.
Blue
chosen
"Blue" is a 2001 album by British boy band Blue that helped establish them as a major pop act in the early 2000s.
-
E.
Blue
Blue is the entry-level tier in Uber's driver rewards program, offering basic benefits and recognition for new or less frequent drivers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca842d8ee88190aaaa639aa953185d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50ab658c8190b23b2a97d15bb3f1 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1101b8c1081908b9a05a8fe1f089f |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:44 p.m.