Triple
T23528873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soyuz TMA-14 |
E576506
|
entity |
| Predicate | spaceflightParticipant |
P153124
|
FINISHED |
| Object | Charles Simonyi |
—
|
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: Charles Simonyi | Statement: [Soyuz TMA-14, spaceflightParticipant, Charles Simonyi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spaceflightParticipant Context triple: [Soyuz TMA-14, spaceflightParticipant, Charles Simonyi]
-
A.
spaceAgencyCustomer
Indicates a relationship where one entity is a customer that purchases or contracts services from a space agency.
-
B.
hostSpaceAgency
Indicates that one entity serves as the space agency that organizes, manages, or officially represents space-related activities for another entity (such as a mission, event, or facility).
-
C.
spaceflightType
Indicates the specific category or mode of spaceflight associated with an entity, such as orbital, suborbital, interplanetary, or other mission types.
-
D.
spaceStationExpedition
Indicates a mission or expedition undertaken to travel to, work on, or return from a space station.
-
E.
spaceProgramInvolvement
Indicates that an entity is involved in, contributes to, or participates in a space exploration or space-related program.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac758038819098f5f597be39274e |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:09 p.m.