Triple
T3973922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddie Mercury |
E85594
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Montserrat Caballé |
E39574
|
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: Montserrat Caballé | Statement: [Freddie Mercury, collaboratedWith, Montserrat Caballé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montserrat Caballé Context triple: [Freddie Mercury, collaboratedWith, Montserrat Caballé]
-
A.
Montserrat Caballé
chosen
Montserrat Caballé was a renowned Spanish operatic soprano celebrated for her powerful yet delicate voice and exceptional bel canto technique.
-
B.
Francisca Hernández
Francisca Hernández was a prominent Spanish mystic associated with the alumbrados movement in the early 16th century, known for her visionary experiences and subsequent Inquisition trials.
-
C.
Maribel Verdú
Maribel Verdú is a Spanish actress acclaimed for her work in films such as "Pan’s Labyrinth" and "Y Tu Mamá También."
-
D.
José Carreras
José Carreras is a renowned Spanish operatic tenor, famous as one of the Three Tenors and celebrated for his performances in the Italian and French lyric repertoire.
-
E.
Regina Torné
Regina Torné is a Mexican actress best known for her work in film and television, including her acclaimed role as the authoritarian matriarch in the adaptation of "Like Water for Chocolate."
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef99837cc8190b8b2464707f5e334 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b540139c2c819080aa19b13540c76a |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:32 p.m.