Triple
T12499328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Medina |
E298776
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Patricia Paz Maria Medina |
E298776
|
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: Patricia Paz Maria Medina | Statement: [Patricia Medina, birthName, Patricia Paz Maria Medina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patricia Paz Maria Medina Context triple: [Patricia Medina, birthName, Patricia Paz Maria Medina]
-
A.
Patricia Rojas
Patricia Rojas is a notable individual recognized for achievements associated with the surname Rojas.
-
B.
Patricia Medina
chosen
Patricia Medina was a British-born film actress known for her roles in Hollywood adventure and mystery films from the 1940s through the 1960s.
-
C.
Martha Paiz
Martha Paiz is known as the wife of American musician and Creedence Clearwater Revival frontman John Fogerty.
-
D.
Adriana Medina
Adriana Medina is a contemporary perfumer known for creating modern, luminous fragrances for major luxury brands such as Lancôme.
-
E.
María Valenzuela
María Valenzuela is an Argentine actress known for her extensive work in television, film, and theater across several decades.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfa98348190b9ac164ecdada6fe |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f726570a2481909f417be6e38d283a |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 8, 2026, 9:57 p.m.