Triple
T20264646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans-Joachim Marseille |
E498931
|
entity |
| Predicate | dateOfKnightCrossWithDiamondsAward |
P139464
|
FINISHED |
| Object | 1942-09-03 |
—
|
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: 1942-09-03 | Statement: [Hans-Joachim Marseille, dateOfKnightCrossWithDiamondsAward, 1942-09-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfKnightCrossWithDiamondsAward Context triple: [Hans-Joachim Marseille, dateOfKnightCrossWithDiamondsAward, 1942-09-03]
-
A.
isMilitaryAwardFor
Indicates that something is a military honor or decoration given in recognition of a specific action, service, or achievement.
-
B.
MedalOfHonorAwardDate
Indicates the date on which a Medal of Honor was formally awarded to a recipient.
-
C.
isOldestMilitaryDecorationOf
Indicates that one military decoration is the earliest or first established award within a specified group, organization, or country.
-
D.
isMilitaryDecorationOf
Indicates that something is a military award or honor that has been conferred upon a particular person, unit, or entity.
-
E.
numberOfTimesAwardedHeroOfTheSovietUnion
Indicates the number of times an entity has been conferred the title "Hero of the Soviet Union."
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ce27688190b31d7a6c98d3ec5e |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:41 p.m.