Triple
T26248701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cristina Moreno |
E656520
|
entity |
| Predicate | emotionalRoleInWork |
P65521
|
FINISHED |
| Object | heart of the story |
—
|
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: heart of the story | Statement: [Cristina Moreno, emotionalRoleInWork, heart of the story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emotionalRoleInWork Context triple: [Cristina Moreno, emotionalRoleInWork, heart of the story]
-
A.
emotionalRole
chosen
Indicates a relationship where one entity holds a particular emotional significance, function, or impact in relation to another entity.
-
B.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
C.
roleInFatherWork
Indicates that one entity has a specific role or involvement in the work or professional activities of another entity identified as the father.
-
D.
typicalRole
Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
-
E.
roleInVox
Indicates that an entity holds a specific role or function within a Vox-related context, such as a project, system, or organization named or described as "Vox."
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dc8882c8190853698e6b1903853 |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 9:06 p.m.