Triple
T16099687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María Elena Holly |
E390582
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | María Elena Holly |
E390582
|
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: María Elena Holly | Statement: [María Elena Holly, name, María Elena Holly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: María Elena Holly Context triple: [María Elena Holly, name, María Elena Holly]
-
A.
María Elena Holly
chosen
María Elena Holly is the widow of rock and roll pioneer Buddy Holly, known for preserving and promoting his musical legacy.
-
B.
Giovanna Ferrer
Giovanna Ferrer is the wife of Sean Hepburn Ferrer, the son of actress Audrey Hepburn and actor Mel Ferrer.
-
C.
Mimi Valdés
Mimi Valdés is an American music and film executive and producer known for her creative leadership at Pharrell Williams’ i am OTHER and her work on projects across film, television, and music.
-
D.
Arlene DelValle
Arlene DelValle is a film and television producer known for her work on the project "My Life."
-
E.
Karin Ferrer
Karin Ferrer is known as the wife of Sean Hepburn Ferrer, the son of actress Audrey Hepburn and actor Mel Ferrer.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6756948190a7f5ecb375e59701 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff29f9f2881909b96860ee23d8ada |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.