Triple
T33691812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knight's Cross of the Iron Cross series |
E863202
|
entity |
| Predicate | notableRecipientClass |
P14626
|
FINISHED |
| Object | fighter aces |
—
|
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: fighter aces | Statement: [Knight's Cross of the Iron Cross series, notableRecipientClass, fighter aces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRecipientClass Context triple: [Knight's Cross of the Iron Cross series, notableRecipientClass, fighter aces]
-
A.
notableRecipientType
Indicates that an entity is notably recognized as a recipient of something (such as an award, honor, or distinction) of a specified type.
-
B.
notableRecipient
Indicates that an entity has received a notable award, honor, or recognition from another entity.
-
C.
notableRecipientUnit
Indicates that an entity has received a notable award, honor, or recognition from the referenced unit or organization.
-
D.
notableRecipientRole
Indicates that an entity has received a notable award, honor, or recognition specifically in the capacity of a particular role or position.
-
E.
notableFieldOfRecipients
chosen
Indicates that the recipients are notable or recognized specifically in a particular field or area of expertise.
- 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_69f3498662b48190904442c39df84fb7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:43 a.m.