Triple
T8637079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owl Pharaoh |
E204548
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | FKi |
E747335
|
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: FKi | Statement: [Owl Pharaoh, producer, FKi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FKi Context triple: [Owl Pharaoh, producer, FKi]
-
A.
FKi
chosen
FKi is an Atlanta-based production duo known for their trap-influenced hip-hop beats and collaborations with prominent rap artists.
-
B.
FK
FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
-
C.
FK
FK is a postcode area in central Scotland that covers parts of Stirling, Falkirk, and surrounding regions.
-
D.
FKF
FKF is the Football Kenya Federation, the national governing body responsible for organizing and overseeing football activities and competitions in Kenya.
-
E.
FKi 1st
FKi 1st is an American record producer and songwriter known for his work in hip-hop and trap music with artists such as Travis Scott.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc476255508190b3e5855232b399a0 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccaa77688190bbcf3fbd6af7c195 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:27 p.m.