Triple
T28212066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Garner as King Marchand |
E711197
|
entity |
| Predicate | countryOfProductionOfWork |
P110306
|
FINISHED |
| Object | UnitedStates |
—
|
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: UnitedStates | Statement: [James Garner as King Marchand, countryOfProductionOfWork, UnitedStates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfProductionOfWork Context triple: [James Garner as King Marchand, countryOfProductionOfWork, UnitedStates]
-
A.
publisherCountryOfWork
Indicates the country where the publisher of a given work is based or operates.
-
B.
countryOfNotableWork
Indicates the country with which a notable work is primarily associated, such as where it was created, set, or gained its significance.
-
C.
originallyProducedIn
Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
-
D.
isProducedIn
Indicates that something is created, manufactured, or generated within a particular place, context, or process.
-
E.
productionCountryOfWorkAppearsIn
chosen
Indicates that a country is the production country of a work in which a given entity appears.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: April 27, 2026, 10:40 p.m.