Triple
T20785764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leaving for Paris No. 2 |
E511631
|
entity |
| Predicate | chronologicallyContainedIn |
P110947
|
FINISHED |
| Object | Rufus Wainwright studio albums era |
—
|
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: Rufus Wainwright studio albums era | Statement: [Leaving for Paris No. 2, chronologicallyContainedIn, Rufus Wainwright studio albums era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicallyContainedIn Context triple: [Leaving for Paris No. 2, chronologicallyContainedIn, Rufus Wainwright studio albums era]
-
A.
chronologicallyAfter
Indicates that one event or state occurs later in time than another.
-
B.
chronologicallyOrdered
Indicates that the related entities are arranged in the order in which they occur in time.
-
C.
chronologicallyBetween
Indicates that one event or time point occurs after a first reference point and before a second reference point in temporal order.
-
D.
chronologyIncludes
chosen
Indicates that a broader chronological sequence or timeline encompasses a specific time span, event, or period as part of it.
-
E.
chronologyPrecedes
Indicates that one event or state occurs earlier in time than another in a chronological sequence.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28c0d0c8190aa48e6fdfdaab750 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:38 p.m.