Triple
T2391980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dani Ardor |
E48962
|
entity |
| Predicate | screenTimeImportance |
P38169
|
FINISHED |
| Object | central character in the film’s narrative |
—
|
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: central character in the film’s narrative | Statement: [Dani Ardor, screenTimeImportance, central character in the film’s narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenTimeImportance Context triple: [Dani Ardor, screenTimeImportance, central character in the film’s narrative]
-
A.
timePeriodOfMajorImportance
Indicates that a particular time period holds significant importance or prominence within a given context or domain.
-
B.
time
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
-
C.
isImportantFor
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
D.
regulatesTimeFor
Indicates that one entity controls, influences, or sets the timing or schedule of another entity’s activities or processes.
-
E.
focusPeriod
Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc87587708190a7f2bc473a898bc2 |
completed | March 7, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69abc5a1b5748190b4cd8989700f4dd2 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc682d094819081a96ffb77c4c42a |
completed | March 7, 2026, 6:32 a.m. |
Created at: March 4, 2026, 7:57 p.m.