Triple
T28518089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlon Taylor |
E721679
|
entity |
| Predicate | countryOfNotableWorkProduction |
P129303
|
FINISHED |
| Object | United States of America |
—
|
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: United States of America | Statement: [Marlon Taylor, countryOfNotableWorkProduction, United States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfNotableWorkProduction Context triple: [Marlon Taylor, countryOfNotableWorkProduction, United States of America]
-
A.
countryOfNotableWork
Indicates the country with which a notable work is primarily associated, such as where it was created, set, or gained its significance.
-
B.
publisherCountryOfWork
Indicates the country where the publisher of a given work is based or operates.
-
C.
productionCountries
chosen
Indicates the countries where a work (such as a film or TV show) was produced or financed.
-
D.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
E.
creationCountry
Indicates the country in which an entity was originally created, produced, or brought into existence.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 28, 2026, 3:18 a.m.