Triple
T29290017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portugal vs Spain (2018 FIFA World Cup Group B) |
E742634
|
entity |
| Predicate | dramaLevel |
P166940
|
FINISHED |
| Object | dramatic |
—
|
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: dramatic | Statement: [Portugal vs Spain (2018 FIFA World Cup Group B), dramaLevel, dramatic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dramaLevel Context triple: [Portugal vs Spain (2018 FIFA World Cup Group B), dramaLevel, dramatic]
-
A.
dramaType
Indicates the specific category or genre of drama that characterizes an entity or work.
-
B.
dramaticAction
Indicates an action or event characterized by heightened emotion, tension, or significance that drives or intensifies a dramatic situation or narrative.
-
C.
dramaticKnowledgeLevel
Indicates the extent or degree to which an entity possesses knowledge or understanding specifically related to drama or theatrical arts.
-
D.
dramaticFunction
Indicates the role or purpose that something serves within the structure or progression of a dramatic work or narrative.
-
E.
thrillLevel
Indicates the degree of excitement or intensity of exhilaration associated with an experience, action, or situation.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6653e73e081908ea14f73f88d5648 |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 1:01 p.m.