Triple
T9880016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cirkut |
E180774
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Taio Cruz |
E389667
|
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: Taio Cruz | Statement: [Cirkut, associatedAct, Taio Cruz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taio Cruz Context triple: [Cirkut, associatedAct, Taio Cruz]
-
A.
Taio Cruz
chosen
Taio Cruz is a British singer, songwriter, and record producer best known for his international pop and dance hits like "Dynamite" and "Break Your Heart."
-
B.
Sean Kingston
Sean Kingston is a Jamaican-American singer and songwriter best known for his 2007 hit single "Beautiful Girls" and his blend of reggae, pop, and R&B music.
-
C.
Julian Fuego Thicke
Julian Fuego Thicke is the son of American singer-songwriter Robin Thicke and actress Paula Patton.
-
D.
Flo Rida
Flo Rida is an American rapper and singer known for his catchy, club-oriented hip hop and pop hits such as "Low" and "Right Round."
-
E.
Jason Derulo
Jason Derulo is an American singer, songwriter, and dancer known for his chart-topping pop and R&B hits and dynamic performances.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4146fe881908f9fc553dfca31e1 |
completed | April 2, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e48665e88190ab8a4a30b1df8ebe |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:38 p.m.