Triple
T35230556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Original 19 |
E1017221
|
entity |
| Predicate | roleInShuttle |
P6821
|
FINISHED |
| Object | provided early Space Shuttle commanders |
—
|
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: provided early Space Shuttle commanders | Statement: [The Original 19, roleInShuttle, provided early Space Shuttle commanders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInShuttle Context triple: [The Original 19, roleInShuttle, provided early Space Shuttle commanders]
-
A.
roleInWhiteBuses
Indicates that an entity participated in or held a specific role within the White Buses operation.
-
B.
roleInBulletTrain
Indicates the specific function, position, or responsibility an entity has within the context of a bullet train system or operation.
-
C.
roleInTrain
Indicates the specific function or position an entity holds within the context of a train (e.g., passenger, conductor, locomotive, or car type).
-
D.
transportationRole
chosen
Indicates a role or function that an entity has specifically in the context of providing, operating, or supporting transportation.
-
E.
roleInLap
Indicates the specific function or position an entity holds during a particular lap within a sequence of laps.
- 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_69f76de12e4c8190bc46b71a32858356 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a01302a80ec8190a27692f09ac38a80 |
completed | May 11, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_6a012fad62308190a53f8b4a071eb245 |
completed | May 11, 2026, 1:23 a.m. |
Created at: May 3, 2026, 4:02 p.m.