Triple
T1631158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Neptunes |
E35257
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Kelis |
E35644
|
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: Kelis | Statement: [The Neptunes, associatedAct, Kelis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelis Context triple: [The Neptunes, associatedAct, Kelis]
-
A.
Kelis
chosen
Kelis is an American singer, songwriter, and chef best known for her eclectic R&B and hip-hop-influenced music, including the hit single "Milkshake."
-
B.
Keyshia Cole
Keyshia Cole is an American R&B singer, songwriter, and television personality known for her soulful vocals and hit albums in the 2000s.
-
C.
Anastacia
Anastacia is an American pop singer-songwriter known for her powerful mezzo-soprano voice and international hits in the early 2000s.
-
D.
Mýa
Mýa is an American R&B singer, songwriter, and dancer known for late-1990s and early-2000s hits like "Case of the Ex" and her feature on "Lady Marmalade."
-
E.
Missy Elliott
Missy Elliott is an influential American rapper, singer, songwriter, and producer known for her innovative music, groundbreaking music videos, and major impact on hip-hop and pop culture.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909f5ae98819091ce5e00eb4256a2 |
completed | March 5, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d79bc88190bfc62f53dd8e8b90 |
completed | March 8, 2026, 11:09 a.m. |
Created at: March 4, 2026, 7:28 p.m.