Triple
T16081610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pablo Live |
E390122
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Pablo Today |
E391949
|
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: Pablo Today | Statement: [Pablo Live, associatedWith, Pablo Today]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pablo Today Context triple: [Pablo Live, associatedWith, Pablo Today]
-
A.
Pablo Today
chosen
Pablo Today is a notable album series on the jazz label Pablo Records, featuring contemporary recordings by prominent jazz artists.
-
B.
Pablo Live
Pablo Live is a notable live jazz album series released by the Pablo Records label, featuring performances by prominent jazz artists.
-
C.
Loving Pablo
Loving Pablo is a biographical crime drama film in which Javier Bardem portrays notorious Colombian drug lord Pablo Escobar.
-
D.
Pablo
Pablo is a given name, especially common in Spanish-speaking countries, that corresponds to the English name Paul.
-
E.
The Picasso
The Picasso is a monumental, abstract steel sculpture by Pablo Picasso that serves as an iconic public artwork in Chicago’s Daley Plaza.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1844b86288190ad0452aad6bdd5fb |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48cf76c8190bc96168fc2326ffb |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 10, 2026, 4:57 a.m.