Triple
T15184762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Public Enemy |
E362838
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | David Mendoza |
—
|
NE NERFINISHED |
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: David Mendoza | Statement: [The Public Enemy, musicBy, David Mendoza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Mendoza Context triple: [The Public Enemy, musicBy, David Mendoza]
-
A.
David Mendoza
chosen
David Mendoza was a composer and conductor active in early 20th-century cinema, known for his work on silent film scores.
-
B.
Miguel Ángel Menéndez
Miguel Ángel Menéndez is a person notable enough to be recognized as a prominent bearer of the surname Menéndez.
-
C.
Armando Bermúdez
Armando Bermúdez was a prominent Dominican figure after whom one of the country’s major national parks, located in the Cordillera Central, is named.
-
D.
Miguel Briseño
Miguel Briseño is a musician best known as a member of the American indie folk band Lord Huron.
-
E.
Miguel Briseño
Miguel Briseño is a performer known for his role in the production of "Fool for Love."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
Created at: April 10, 2026, 3:09 a.m.