Triple
T33591418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Even the Rain |
E860433
|
entity |
| Predicate | countryRepresentedAtOscars |
P76394
|
FINISHED |
| Object | Spain |
—
|
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: Spain | Statement: [Even the Rain, countryRepresentedAtOscars, Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryRepresentedAtOscars Context triple: [Even the Rain, countryRepresentedAtOscars, Spain]
-
A.
representedCountryAtOscars
chosen
Indicates that an entity served as the official representative of a particular country at the Academy Awards (Oscars) in a given year or category.
-
B.
bestPictureWinnerCountry
Indicates the country associated with the film that won the Best Picture award in a given year or context.
-
C.
nominatedPersonNationality
Indicates that the specified nationality is the country or national identity of the person who has been nominated.
-
D.
hasLeadActorNationality
Indicates that the nationality of the lead actor in a work is a specified country or nationality.
-
E.
countryRepresentedBy
Indicates that a particular country is officially represented by a specified person, organization, or entity in a given context.
- F. None of above.
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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00be8ee4bc8190b795d9606f0e490c |
completed | May 10, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_6a00bde163c88190867104bd08cac2ee |
completed | May 10, 2026, 5:18 p.m. |
Created at: May 1, 2026, 1:40 a.m.