Triple
T1648828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelis |
E35644
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Flesh Tone
Flesh Tone is a 2010 dance-pop and electronic album by American singer Kelis that marked a stylistic shift toward club-oriented, upbeat production.
|
E185686
|
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: Flesh Tone | Statement: [Kelis, notableWork, Flesh Tone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flesh Tone Context triple: [Kelis, notableWork, Flesh Tone]
-
A.
Real Tone
Real Tone is Google's camera technology designed to more accurately and beautifully render diverse skin tones in photos and videos.
-
B.
Velvet Brown
Velvet Brown is the determined young English girl who dreams of racing her beloved horse to victory in the classic novel and film "National Velvet."
-
C.
Tinte
Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
-
D.
Gray
Gray is the commonly used short form of the name Gray Davis, the former governor of California.
-
E.
Gray
Gray is a historic commune in eastern France known for its picturesque setting along the Saône River and its well-preserved old town.
- 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: Flesh Tone Triple: [Kelis, notableWork, Flesh Tone]
Generated description
Flesh Tone is a 2010 dance-pop and electronic album by American singer Kelis that marked a stylistic shift toward club-oriented, upbeat production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flesh Tone Target entity description: Flesh Tone is a 2010 dance-pop and electronic album by American singer Kelis that marked a stylistic shift toward club-oriented, upbeat production.
-
A.
Real Tone
Real Tone is Google's camera technology designed to more accurately and beautifully render diverse skin tones in photos and videos.
-
B.
Velvet Brown
Velvet Brown is the determined young English girl who dreams of racing her beloved horse to victory in the classic novel and film "National Velvet."
-
C.
Tinte
Tinte is a small village in the Dutch province of South Holland, known for its rural character and annual local festivities.
-
D.
Gray
Gray is the commonly used short form of the name Gray Davis, the former governor of California.
-
E.
Gray
Gray is a historic commune in eastern France known for its picturesque setting along the Saône River and its well-preserved old town.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a6537e0819082b966023e0c0583 |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60a73a288190a659e2a1f09ba524 |
completed | March 8, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69ad61323b308190b883c4bf2c3ca1bf |
completed | March 8, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad622d695481909351a9c80f8d646f |
completed | March 8, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:29 p.m.