Triple
T21386155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ジョー・ローゼンタール |
E527502
|
entity |
| Predicate | 代表作の評価 |
P114678
|
FINISHED |
| Object | アメリカ史上最も有名な報道写真の一つとされる |
—
|
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: アメリカ史上最も有名な報道写真の一つとされる | Statement: [ジョー・ローゼンタール, 代表作の評価, アメリカ史上最も有名な報道写真の一つとされる]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 代表作の評価 Context triple: [ジョー・ローゼンタール, 代表作の評価, アメリカ史上最も有名な報道写真の一つとされる]
-
A.
isOneOfMostSuccessfulWorksOf
chosen
Indicates that one entity is among the most successful works or creations associated with another entity.
-
B.
notableWorkAspect
Indicates a specific characteristic, feature, or component that is a significant or defining part of a notable work.
-
C.
isOneOfBestPreservedWorksOf
Indicates that something is among the most well-maintained or least deteriorated creations associated with a particular creator, period, or category.
-
D.
notableWorkPresented
Indicates that a particular notable work was presented, exhibited, or showcased by an entity (such as a person or organization).
-
E.
notableFeatureOfWork
Indicates that a particular feature, characteristic, or aspect is a notable or distinguishing element of a given work.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f3d37c8190b43ec77cdb1904c8 |
completed | April 22, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:12 p.m.