Triple
T26498341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Jones |
E669345
|
entity |
| Predicate | countryOfDepartureInPlot |
P879
|
FINISHED |
| Object | United States |
—
|
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 | Statement: [Sean Jones, countryOfDepartureInPlot, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfDepartureInPlot Context triple: [Sean Jones, countryOfDepartureInPlot, United States]
-
A.
placeOfDeparture
Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
-
B.
voyageOriginCountry
chosen
Indicates the country from which a voyage departs or originates.
-
C.
placeOfArrival
Indicates the location at which an entity or person arrives at the end of a journey, movement, or transfer.
-
D.
associatedWithDepartureCountry
Indicates that there is a relationship linking something (such as a person, object, or event) to the country from which a departure takes place.
-
E.
reentryCountry
Indicates the country into which an entity returns or reenters after being abroad or outside its territory.
- 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 27, 2026, 1:10 a.m.