Triple
T33776958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri Farman |
E865547
|
entity |
| Predicate | madeFirstFlight |
P28082
|
FINISHED |
| Object | 1907 |
—
|
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: 1907 | Statement: [Henri Farman, madeFirstFlight, 1907]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeFirstFlight Context triple: [Henri Farman, madeFirstFlight, 1907]
-
A.
madeFirstFlightAcross
Indicates that the subject completed the earliest or inaugural flight across the specified object or region.
-
B.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
-
C.
familyFirstFlight
Indicates that the event represents the first time a family travels together on an airplane.
-
D.
performedFirstFlightWith
Indicates that one entity carried out its inaugural or maiden flight in conjunction with, or using, another entity.
-
E.
firstFlownAt
chosen
Indicates the date or time at which something (typically an aircraft or spacecraft) was first flown.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.