Triple
T10048534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermes spacecraft |
E207678
|
entity |
| Predicate | crewMember |
P2094
|
FINISHED |
| Object | Alex Vogel |
E740384
|
NE 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: Alex Vogel | Statement: [Hermes spacecraft, crewMember, Alex Vogel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Vogel Context triple: [Hermes spacecraft, crewMember, Alex Vogel]
-
A.
Alex Vogel
chosen
Alex Vogel is a professional associated with Rick Martinez, likely working alongside him in a shared field or organization.
-
B.
Edward Vogel
Edward Vogel was a 19th-century German explorer known for his expeditions in Central Africa, particularly in the regions around Lake Chad.
-
C.
Richard Vogt
Richard Vogt was a German aeronautical engineer best known for his innovative and unconventional aircraft designs for Blohm & Voss during the 1930s and World War II.
-
D.
Peter Vogel
Peter Vogel is an Australian engineer and entrepreneur best known as the co-creator of the Fairlight CMI, one of the first digital sampling synthesizers that revolutionized music production.
-
E.
Kurt Voss
Kurt Voss is an American filmmaker and screenwriter known for his work in independent cinema, often exploring gritty, character-driven stories.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8cf4f0819084d831e1986790be |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794653a948190899e60d18446213a |
completed | April 9, 2026, 11:58 a.m. |
Created at: March 30, 2026, 8:56 p.m.