Triple
T6977076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thankful |
E161740
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Rami Yacoub |
E587555
|
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: Rami Yacoub | Statement: [Thankful, producer, Rami Yacoub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rami Yacoub Context triple: [Thankful, producer, Rami Yacoub]
-
A.
Rami Yacoub
chosen
Rami Yacoub is a Swedish music producer and songwriter known for crafting numerous international pop hits with artists such as Celine Dion, Britney Spears, and the Backstreet Boys.
-
B.
Mena Massoud
Mena Massoud is an Egyptian-Canadian actor best known for starring as Aladdin in Disney’s 2019 live-action adaptation of the animated classic.
-
C.
Gabriel LaBelle
Gabriel LaBelle is a Canadian actor best known for his breakout lead performance as the young Spielberg stand-in in the semi-autobiographical film "The Fabelmans."
-
D.
Safy Boutella
Safy Boutella is an Algerian musician and composer known for his influential role in modern Algerian music and film scores.
-
E.
Christopher Brody Brown
Christopher Brody Brown is an American songwriter and producer best known for his work with Bruno Mars on hit songs such as "Young, Wild & Free."
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db677bbc8190a084b6951e5c3182 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a0ad57c81909aec9f619dc68bd7 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:31 p.m.