Triple
T5044610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeping Beauty and the Airplane |
E113630
|
entity |
| Predicate | workInAuthorPeriod |
P57383
|
FINISHED |
| Object | late career of Gabriel García Márquez |
—
|
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: late career of Gabriel García Márquez | Statement: [Sleeping Beauty and the Airplane, workInAuthorPeriod, late career of Gabriel García Márquez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workInAuthorPeriod Context triple: [Sleeping Beauty and the Airplane, workInAuthorPeriod, late career of Gabriel García Márquez]
-
A.
literaryPeriodOfWork
Indicates the literary period or movement to which a particular work belongs.
-
B.
workInChronologyOfAuthor
chosen
Indicates that a work appears within, and is ordered as part of, the chronological sequence of an author's creations or publications.
-
C.
notableWorkPeriod
Indicates the time span during which an entity produced or was associated with its most significant or well-known works.
-
D.
activeYearsInLiterature
Indicates the span of years during which an entity was actively producing or contributing to literary works.
-
E.
flourishedDuring
Indicates that an entity was active, thriving, or at its peak during a specified time period or era.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fd81788190b7799f519277119a |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.