Triple
T16988392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MiMi Aung |
E412128
|
entity |
| Predicate | employedAtTime |
P125493
|
FINISHED |
| Object | Jet Propulsion Laboratory during the Mars 2020 mission |
—
|
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: Jet Propulsion Laboratory during the Mars 2020 mission | Statement: [MiMi Aung, employedAtTime, Jet Propulsion Laboratory during the Mars 2020 mission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employedAtTime Context triple: [MiMi Aung, employedAtTime, Jet Propulsion Laboratory during the Mars 2020 mission]
-
A.
employedTo
Indicates that one entity is hired or engaged to perform work, services, or duties for another entity.
-
B.
workAt
Indicates that an entity is employed by or performs work for a particular organization, company, or place.
-
C.
workedAs
Indicates that an entity held a particular job, role, or position, performing work in that capacity.
-
D.
hasWorkedFor
Indicates that an entity has been employed by or has provided work or services to another entity.
-
E.
employedThrough
Indicates that an entity holds a job or work position by means of, or via the arrangement of, another entity (such as an agency, contractor, or intermediary).
- F. None of above. chosen
Provenance (4 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27cd2048190800a60ae653e11e1 |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:32 a.m.