Triple
T19022647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicario |
E465525
|
entity |
| Predicate | roleInPlotContext |
P42552
|
FINISHED |
| Object | family of the twin brothers who kill Santiago Nasar |
—
|
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: family of the twin brothers who kill Santiago Nasar | Statement: [Vicario, roleInPlotContext, family of the twin brothers who kill Santiago Nasar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInPlotContext Context triple: [Vicario, roleInPlotContext, family of the twin brothers who kill Santiago Nasar]
-
A.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
B.
roleInStories
chosen
Indicates the specific function, position, or character part an entity plays within one or more stories.
-
C.
roleInDialogue
Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
-
D.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
E.
roleInGameplay
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6e0583c8190bdfbfe6d94681899 |
completed | April 20, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.