Triple
T27233689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auguste Piccard high-altitude balloon gondolas |
E682220
|
entity |
| Predicate | firstFlightCrew |
P198672
|
FINISHED |
| Object | Auguste Piccard |
—
|
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: Auguste Piccard | Statement: [Auguste Piccard high-altitude balloon gondolas, firstFlightCrew, Auguste Piccard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFlightCrew Context triple: [Auguste Piccard high-altitude balloon gondolas, firstFlightCrew, Auguste Piccard]
-
A.
firstCrewedTestFlightCrew
Indicates that the subject is a member of the crew on the first crewed test flight of the referenced vehicle or mission.
-
B.
hasFlightCrew
Indicates that an entity (such as a flight or aircraft) is associated with one or more people serving as its flight crew.
-
C.
firstCrewMember
Indicates that the subject is the first (earliest or primary) member within a specified crew or group.
-
D.
firstFlightCommander
Indicates that one entity served as the first commander in charge of another entity’s inaugural flight.
-
E.
firstNonStopTransatlanticFlightCrew
Indicates that the subject was a member of the crew on the first non-stop transatlantic flight.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fefb15220081908da36aac386fa582 |
completed | May 9, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69fefa8e8ad48190a723fed81e9d64d0 |
completed | May 9, 2026, 9:12 a.m. |
| PDg | Predicate description generation | batch_69fefb13eb288190bcfae0541cfd7b98 |
completed | May 9, 2026, 9:15 a.m. |
Created at: April 27, 2026, 9:47 a.m.