Triple
T20386593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saturn Award for Best Supporting Actor (for Star Trek II: The Wrath of Khan, 1982) |
E497972
|
entity |
| Predicate | languageOfRecognizedWork |
P86134
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Saturn Award for Best Supporting Actor (for Star Trek II: The Wrath of Khan, 1982), languageOfRecognizedWork, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfRecognizedWork Context triple: [Saturn Award for Best Supporting Actor (for Star Trek II: The Wrath of Khan, 1982), languageOfRecognizedWork, English]
-
A.
languageOfWorkRecognized
chosen
Indicates that a work is officially recognized as being created or expressed in a particular language.
-
B.
languageOfUnderlyingWork
Indicates the language in which the original or underlying work (from which a derived or related work stems) is expressed.
-
C.
languageOfParentWork
Indicates that the specified language is the language in which the parent (original or containing) work is expressed.
-
D.
languageOfManuscript
Indicates the language in which a given manuscript is written.
-
E.
recognizedLanguage
Indicates that an entity has identified, detected, or acknowledged a particular language as being used or present.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790bcef481909453d19c846ab420 |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:28 a.m.