Triple
T12073122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rose Rent |
E287473
|
entity |
| Predicate | firstPublicationDateApproximate |
P56255
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [The Rose Rent, firstPublicationDateApproximate, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationDateApproximate Context triple: [The Rose Rent, firstPublicationDateApproximate, 1986]
-
A.
hasApproximatePublicationStart
Indicates that an entity is associated with an estimated or imprecise starting date for its publication.
-
B.
releaseApproximateYear
Indicates that an entity was released or made available around a specified year, where the year is approximate rather than exact.
-
C.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
D.
initialReleaseApprox
chosen
Indicates that an entity’s first release or debut occurred around an estimated or approximate point in time rather than on a precisely known date.
-
E.
firstPublicationPeriod
Indicates the time span during which something was first published or initially made publicly available.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.