Triple
T4450809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noticia de un secuestro |
E97602
|
entity |
| Predicate | nonFictionType |
P17629
|
FINISHED |
| Object | true crime |
—
|
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: true crime | Statement: [Noticia de un secuestro, nonFictionType, true crime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonFictionType Context triple: [Noticia de un secuestro, nonFictionType, true crime]
-
A.
isNonfiction
Indicates that the work or content is factual rather than fictional, based on real events, people, or information.
-
B.
isNonFictionCategory
chosen
Indicates that a given category pertains to non-fiction works, such as factual or informational content rather than fictional material.
-
C.
bookCategory
Indicates the classification or genre category to which a given book belongs.
-
D.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
-
E.
chapterType
Indicates the specific kind or category of a chapter within a larger work or document.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f2377c8190b0176b4c6776815e |
completed | March 13, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:33 p.m.