Triple
T872320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chronicle of a Death Foretold |
E18840
|
entity |
| Predicate | narratorCharacter |
P17575
|
FINISHED |
| Object | unnamed journalist |
—
|
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: unnamed journalist | Statement: [Chronicle of a Death Foretold, narratorCharacter, unnamed journalist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narratorCharacter Context triple: [Chronicle of a Death Foretold, narratorCharacter, unnamed journalist]
-
A.
narratorOf
chosen
Indicates that one entity serves as the narrator or storytelling voice for another entity, such as a text, story, or media work.
-
B.
fictionalNarrator
Indicates that one entity serves as the narrator or storytelling voice within a fictional work that features the other entity.
-
C.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
D.
sectionNarrator
Indicates that a given entity serves as the narrator or narrative voice for a particular section of a work.
-
E.
narratedTo
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac96850881908a2d776685126137 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8b9b5c81909ac71904f8b8b5cd |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.