Triple
T24486640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Louisville (CA-28) |
E617527
|
entity |
| Predicate | launchedWithSponsor |
P156485
|
FINISHED |
| Object | Miss Jane Brown Kennedy |
—
|
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: Miss Jane Brown Kennedy | Statement: [USS Louisville (CA-28), launchedWithSponsor, Miss Jane Brown Kennedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: launchedWithSponsor Context triple: [USS Louisville (CA-28), launchedWithSponsor, Miss Jane Brown Kennedy]
-
A.
launchedBySponsor
Indicates that something (such as a project, campaign, or initiative) was initiated or started by a sponsoring entity.
-
B.
launchSponsor
Indicates that an entity provides financial or organizational support for the launch of another entity, such as a product, mission, or event.
-
C.
hasSponsor
Indicates that one entity financially or otherwise supports another entity, typically in exchange for recognition or other benefits.
-
D.
sponsorTo
Indicates that one entity provides support, funding, or endorsement to another entity, typically to enable or promote the latter’s activities or initiatives.
-
E.
sponsorEnded
Indicates that a sponsorship relationship between entities has been terminated or has come to an end.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:22 a.m.