Triple
T8842126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All I Ask |
E210411
|
entity |
| Predicate | themeRelationship |
P12753
|
FINISHED |
| Object | depicts a plea to make a final night unforgettable |
—
|
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: depicts a plea to make a final night unforgettable | Statement: [All I Ask, themeRelationship, depicts a plea to make a final night unforgettable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeRelationship Context triple: [All I Ask, themeRelationship, depicts a plea to make a final night unforgettable]
-
A.
titleRelation
Indicates a relationship where one entity serves as the title, designation, or formal name associated with another entity.
-
B.
semanticRelation
chosen
Indicates a general meaning-based connection between two entities, such as similarity, implication, or conceptual association.
-
C.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
D.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
E.
termRelationTo
Indicates a general relational association between one term and another, without specifying the exact nature of that relationship.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60876c6c8190b1b490e447e1cf4b |
completed | April 1, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:48 p.m.