Triple
T14045799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dance Fever |
E337951
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | King |
E337945
|
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: King | Statement: [Dance Fever, hasSingle, King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Context triple: [Dance Fever, hasSingle, King]
-
A.
King
The King is the reigning male monarch who serves as the head of state of the United Kingdom within its constitutional monarchy system.
-
B.
King
chosen
"King" is a 2022 song by English indie rock band Florence and the Machine that explores themes of womanhood, power, and identity.
-
C.
King
King is a public transit stop commonly associated with King Street, likely serving as a key access point along that corridor.
-
D.
King
King is a masculine given name, historically associated with leadership or nobility and occasionally used as a first name in English-speaking countries.
-
E.
King
King is a recurring fighter in the Art of Fighting and The King of Fighters video game series, known for her Muay Thai fighting style and androgynous appearance.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc34148348190a8c67e035646e431 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 9, 2026, 10:20 p.m.