Triple
T2133137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally Ride (lunar crater) |
E46587
|
entity |
| Predicate | eponymNotability |
P1481
|
FINISHED |
| Object | first American woman in space |
—
|
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: first American woman in space | Statement: [Sally Ride (lunar crater), eponymNotability, first American woman in space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eponymNotability Context triple: [Sally Ride (lunar crater), eponymNotability, first American woman in space]
-
A.
eponymCountry
Indicates that a country is named after (or serves as the namesake for) a particular person, place, or entity.
-
B.
honorificEponym
Indicates that one entity serves as an honorific namesake for another, typically recognizing or commemorating the person or entity in whose honor something is named.
-
C.
speciesEponym
Indicates that a species is named in honor of a particular person or entity.
-
D.
notableNickname
Indicates that one entity is a well-known or widely recognized nickname or moniker for another entity.
-
E.
notablyAssociatedWith
chosen
Indicates that one entity is prominently or distinctively connected with another in a way that is especially noteworthy or remarkable.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbba0c42c8190ab3ce4bbf1531ee1 |
completed | March 7, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69abb7bf56e481909b0f497d238451cc |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.