Triple
T16649763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingrid Bergman’s diaries |
E404570
|
entity |
| Predicate | informationValue |
P7345
|
FINISHED |
| Object | historical insight into film industry |
—
|
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: historical insight into film industry | Statement: [Ingrid Bergman’s diaries, informationValue, historical insight into film industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: informationValue Context triple: [Ingrid Bergman’s diaries, informationValue, historical insight into film industry]
-
A.
typeOfInformation
Indicates that one entity specifies the category or kind of information that characterizes or describes another entity.
-
B.
value
chosen
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
C.
providesInformationIn
Indicates that one entity supplies or conveys information within or through another entity or context.
-
D.
formacja
Indicates the formation or configuration in which entities are arranged or organized relative to one another.
-
E.
valueExpressed
Indicates that a particular value, opinion, or quantitative measure is articulated, represented, or made explicit by an entity or expression.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad85ec881909dc6a434a363dab1 |
completed | April 18, 2026, 12:36 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.