Triple
T37338495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Baron |
E926962
|
entity |
| Predicate | firstAerialVictoryDate |
P126053
|
FINISHED |
| Object | 1916-09-17 |
—
|
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: 1916-09-17 | Statement: [Red Baron, firstAerialVictoryDate, 1916-09-17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAerialVictoryDate Context triple: [Red Baron, firstAerialVictoryDate, 1916-09-17]
-
A.
firstWinningFlightDate
chosen
Indicates the date on which the first successful or winning flight associated with the subject occurred.
-
B.
firstPoweredFlightDate
Indicates the calendar date on which an entity (typically an aircraft or spacecraft) achieved its first powered flight.
-
C.
firstCrewedFlightDate
Indicates the calendar date on which an entity undertook its first flight carrying human crew.
-
D.
numberOfAerialVictories
Indicates the count of successful aerial combat victories achieved by an entity over opposing aircraft.
-
E.
firstFlownAt
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_69f76eb4e8a881908bd40da28f36fc7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.