Triple
T26813026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spacelab D1 |
E672047
|
entity |
| Predicate | crewRoleEmphasis |
P161495
|
FINISHED |
| Object | payload specialist operations |
—
|
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: payload specialist operations | Statement: [Spacelab D1, crewRoleEmphasis, payload specialist operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewRoleEmphasis Context triple: [Spacelab D1, crewRoleEmphasis, payload specialist operations]
-
A.
socialRoleEmphasis
Indicates an emphasis on or prioritization of a particular social role within a relationship or interaction.
-
B.
cultRole
Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
-
C.
themeRole
Indicates that an entity is the primary participant undergoing or affected by the action or event expressed by a predicate.
-
D.
featuresCharacterRole
Indicates that a work includes a character appearing in a specific narrative or functional role.
-
E.
encodingRole
Indicates the role or function an entity has in the process of encoding information into a particular form or representation.
- 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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61a830edc8190a73ebf0085d5d151 |
completed | May 2, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6142a0b988190b404d078f73c3cb9 |
completed | May 2, 2026, 3:11 p.m. |
Created at: April 27, 2026, 4:30 a.m.