Triple
T9145434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Despicable Me 2 soundtrack |
E219438
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Heitor Pereira |
E268575
|
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: Heitor Pereira | Statement: [Despicable Me 2 soundtrack, producer, Heitor Pereira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heitor Pereira Context triple: [Despicable Me 2 soundtrack, producer, Heitor Pereira]
-
A.
Heitor Pereira
chosen
Heitor Pereira is a Brazilian composer and musician best known for his film scores, particularly for animated features such as the Despicable Me series.
-
B.
Jorge Arantes
Jorge Arantes is a Portuguese former journalist best known as the first husband of author J. K. Rowling.
-
C.
Heitor da Silva Costa
Heitor da Silva Costa was a Brazilian civil engineer best known for leading the design and construction of Rio de Janeiro’s iconic Christ the Redeemer statue.
-
D.
Frei Paulo
Frei Paulo is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region.
-
E.
Marcelo Gomes
Marcelo Gomes is a renowned Brazilian ballet dancer celebrated for his long and distinguished career as a principal dancer with American Ballet Theatre.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9166d308190a742ae68371439ee |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d04820eef08190839cecb5bb74f122 |
completed | April 3, 2026, 11:07 p.m. |
Created at: March 30, 2026, 7:19 p.m.