Triple
T13004279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raul Julia |
E322245
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tempest |
E982134
|
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: Tempest | Statement: [Raul Julia, notableWork, Tempest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tempest Context triple: [Raul Julia, notableWork, Tempest]
-
A.
Tempest
Tempest is a 2012 studio album by Bob Dylan, noted for its dark, narrative-driven songs and often regarded as one of his strongest late-career works.
-
B.
Tempest
"Tempest" is a track from Lucius's debut album "Wildewoman," showcasing the band's indie pop style and rich vocal harmonies.
-
C.
Tempest
Tempest is the codename for one of the energy-efficient CPU cores used in Apple’s A12X Bionic system-on-a-chip.
-
D.
Tempest
chosen
Tempest is a 1982 American comedy-drama film loosely inspired by Shakespeare’s "The Tempest," directed by Paul Mazursky and known for its modern reimagining of the classic tale.
-
E.
The Tempest
The Tempest is a late Shakespearean play that blends shipwreck-driven adventure with themes of magic, power, and reconciliation on a remote island.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c107f990819093042560b1bc4473 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:47 p.m.