Triple
T30883170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dottie Metcalf-Lindenburger |
E786678
|
entity |
| Predicate | flewOnSpacecraft |
P143810
|
FINISHED |
| Object | Space Shuttle Discovery |
—
|
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: Space Shuttle Discovery | Statement: [Dottie Metcalf-Lindenburger, flewOnSpacecraft, Space Shuttle Discovery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flewOnSpacecraft Context triple: [Dottie Metcalf-Lindenburger, flewOnSpacecraft, Space Shuttle Discovery]
-
A.
hasFlownInSpace
Indicates that the subject has traveled beyond Earth's atmosphere into outer space.
-
B.
aboardSpacecraft
Indicates that one entity is physically present on or inside a spacecraft as an occupant or passenger.
-
C.
isAstronautOf
Indicates that a person serves as an astronaut who is a member of, or assigned to, a particular space agency, mission, or spacecraft.
-
D.
spaceflightVehicleFlown
chosen
Indicates that a particular spaceflight vehicle has been operated or flown by a specific agent (such as a person, crew, or organization).
-
E.
servedOnSpaceShuttle
Indicates that an individual participated as a crew member on a mission aboard a Space Shuttle.
- 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6920402e481909686774789e914ef |
completed | May 3, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:48 p.m.