Triple
T8116455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightlife |
E189485
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | David Morales |
E217966
|
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: David Morales | Statement: [Nightlife, producer, David Morales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Morales Context triple: [Nightlife, producer, David Morales]
-
A.
David Morales
chosen
David Morales is an influential American DJ and Grammy-winning house music producer known for his remixes and work with major pop and dance artists.
-
B.
Juan Morales
Juan Morales was a Mexican military commander known for leading forces during the Siege of Veracruz in the Mexican–American War.
-
C.
Mark Morales
Mark Morales is a comic book writer best known for his work on the series "Uproar."
-
D.
Adrian Molina
Adrian Molina is an American animator, storyboard artist, and filmmaker best known for co-directing Pixar’s acclaimed animated film "Coco."
-
E.
David Mendoza
David Mendoza was a composer and conductor active in early 20th-century cinema, known for his work on silent film scores.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43320bf881909f97a235451bb3a4 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeace262881909dedeb1a07e95279 |
completed | April 3, 2026, 4:29 p.m. |
Created at: March 30, 2026, 5:33 p.m.