Triple
T13873304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Body Next to Body |
E333512
|
entity |
| Predicate | hasProducerNationality |
P27800
|
FINISHED |
| Object | Austrian |
—
|
LITERAL 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: Austrian | Statement: [Body Next to Body, hasProducerNationality, Austrian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProducerNationality Context triple: [Body Next to Body, hasProducerNationality, Austrian]
-
A.
producerNationality
chosen
Indicates that a producer has a particular national affiliation or country of origin.
-
B.
hasDirectorNationality
Indicates that the nationality of a director is associated with a given entity (such as a film, organization, or work).
-
C.
hasCompilerNationality
Indicates that the compiler of a work or collection has a specific nationality.
-
D.
createdByNationality
Indicates that something was created by an individual or group belonging to a specified nationality.
-
E.
hasPlaywrightNationality
Indicates that a playwright has a particular national affiliation or citizenship.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:14 p.m.