Triple
T1995749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Ronstadt |
E43354
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ronstadt |
E43354
|
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: Ronstadt | Statement: [Linda Ronstadt, familyName, Ronstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronstadt Context triple: [Linda Ronstadt, familyName, Ronstadt]
-
A.
Rodriguez
Rodriguez is a common Spanish-origin surname widely borne across the Spanish-speaking world and beyond.
-
B.
Sosa
Sosa is a Spanish-origin surname most famously associated with former Major League Baseball slugger Sammy Sosa.
-
C.
Albert Baez
Albert Baez was a Mexican-American physicist and optics pioneer who made significant contributions to X-ray microscopy and is also known as the father of folk singer Joan Baez.
-
D.
Linda Ronstadt
chosen
Linda Ronstadt is an American singer known for her powerful, versatile voice and wide-ranging repertoire spanning rock, country, pop, and Latin music, making her one of the most successful and influential vocalists of the 20th century.
-
E.
Lowry Mays
Lowry Mays is an American businessman and philanthropist best known as the founder of Clear Channel Communications (now iHeartMedia) and a major benefactor of Texas A&M University.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb86537748190a2b5e3fd44ac6430 |
completed | March 7, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae033c6cf88190acf6418f0d784914 |
completed | March 8, 2026, 11:16 p.m. |
Created at: March 4, 2026, 7:37 p.m.