Triple
T2010245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue |
E43672
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Carey |
E4613
|
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: Carey | Statement: [Blue, hasTrack, Carey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carey Context triple: [Blue, hasTrack, Carey]
-
A.
Kelly
Kelly is the middle name of Richmond K. Turner, a prominent admiral in the United States Navy during World War II.
-
B.
Kelly
Kelly is a common Irish-origin surname widely used in English-speaking countries.
-
C.
Anastacia
Anastacia is an American pop singer-songwriter known for her powerful mezzo-soprano voice and international hits in the early 2000s.
-
D.
Mariah Carey
chosen
Mariah Carey is an American singer, songwriter, and producer renowned for her five-octave vocal range, melismatic singing style, and a long string of chart-topping pop and R&B hits since the early 1990s.
-
E.
Courtney
Courtney is a surname of Irish origin that is also commonly used as a given name.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8afe6f8819092679c86d1f2d041 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ae5f0748190aecee47884c61ecc |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:37 p.m.