Triple
T20852529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pendulum |
E513398
|
entity |
| Predicate | includesTrack |
P3284
|
FINISHED |
| Object | Molina |
—
|
NE NERFINISHED |
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: Molina | Statement: [Pendulum, includesTrack, Molina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molina Context triple: [Pendulum, includesTrack, Molina]
-
A.
Molina
Molina is a Spanish-origin surname borne by numerous notable individuals across fields such as acting, sports, and science.
-
B.
Molina
chosen
Molina is a town and commune in Chile’s Maule Region, known for its agricultural activity and proximity to the Radal Siete Tazas National Park.
-
C.
Zamudio
Zamudio is a municipality in the province of Biscay in Spain’s Basque Country, known for hosting the Zamudio Technology Park and being part of the Greater Bilbao metropolitan area.
-
D.
Navarrete
Navarrete is a Spanish surname most notably borne by Javier Navarrete, an acclaimed film composer known for his work on movies such as "Pan's Labyrinth."
-
E.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a4df5c8190aa0e7684ad6fc9f2 |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.