Triple
T3226807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 淵田 美津雄 |
E67642
|
entity |
| Predicate | 著名な理由 |
P22
|
FINISHED |
| Object | 真珠湾攻撃の空襲隊指揮官 |
—
|
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: 真珠湾攻撃の空襲隊指揮官 | Statement: [淵田 美津雄, 著名な理由, 真珠湾攻撃の空襲隊指揮官]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 著名な理由 Context triple: [淵田 美津雄, 著名な理由, 真珠湾攻撃の空襲隊指揮官]
-
A.
notableFor
chosen
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
B.
popularName
Indicates that the object is a commonly used or widely recognized name or nickname for the subject.
-
C.
notableFact
Indicates that there exists a particularly significant or noteworthy fact or piece of information associated with the subject.
-
D.
formerlyKnownFor
Indicates that an entity was previously recognized or notable for a particular role, attribute, or activity, but is no longer primarily associated with it.
-
E.
isMostProminentIn
Indicates that an entity stands out as the most notable, influential, or dominant among comparable entities within a specified context or domain.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb5e67c819082070d108d3613ba |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0bb6c48190a0659c67d40ee37c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.