Triple
T35451639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Aldrich |
E1024646
|
entity |
| Predicate | countryOfMissionTarget |
P203699
|
FINISHED |
| Object | planet Mars |
E20154
|
NE 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: planet Mars | Statement: [Kim Aldrich, countryOfMissionTarget, planet Mars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfMissionTarget Context triple: [Kim Aldrich, countryOfMissionTarget, planet Mars]
-
A.
countryOfMission
Indicates that an entity (such as a mission, project, or operation) is associated with or takes place in a particular country.
-
B.
countryOfMissionOrigin
Indicates the country from which a mission originates or is launched.
-
C.
countryTargeted
Indicates that a particular country is the intended object or focus of an action, operation, or influence.
-
D.
countryOfDeployment
Indicates the country where an entity (such as a person, unit, or asset) is currently or was assigned, stationed, or operating.
-
E.
primaryTargetCountry
Indicates the country that is the main or principal focus or destination of the related action, plan, or effect.
- F. None of above. chosen
Provenance (5 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_69f76df92f108190817222e520e22268 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a01ca0db6f08190bed479584114e63d |
completed | May 11, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38402d44c48190b6288df4115342ee |
completed | June 21, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_6a01c96ff4a08190a4fbf0cebbda95b4 |
completed | May 11, 2026, 12:20 p.m. |
| PDg | Predicate description generation | batch_6a01ca0bf57881908d0dcfb2a25556b3 |
completed | May 11, 2026, 12:22 p.m. |
Created at: May 3, 2026, 4:04 p.m.