Triple
T7289661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank U, Next |
E163958
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Michael Foster |
E654822
|
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: Michael Foster | Statement: [Thank U, Next, producer, Michael Foster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Foster Context triple: [Thank U, Next, producer, Michael Foster]
-
A.
Michael Foster
chosen
Michael Foster is a songwriter best known for co-writing Ariana Grande’s hit single "thank u, next."
-
B.
Christopher Fairbank
Christopher Fairbank is a British character actor known for his distinctive features and roles in film and television, including appearances in productions such as "Auf Wiedersehen, Pet" and various Shakespearean adaptations.
-
C.
Edward Douglas Fawcett
Edward Douglas Fawcett was a British philosopher, novelist, and mountaineer known for his works on idealist philosophy and speculative fiction.
-
D.
David Dodd
David Dodd was an American economist, Columbia Business School professor, and influential co-author of the classic value investing text "Security Analysis."
-
E.
Gabriel Almond
Gabriel Almond was an influential American political scientist known for his work on comparative politics and political 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6bde448190b52852c916a8059d |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eedfa4d08190997a692b81309309 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3 p.m.