Triple
T7787003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurélia Thierrée |
E187270
|
entity |
| Predicate | hasPerformanceElement |
P79011
|
FINISHED |
| Object | acrobatics |
—
|
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: acrobatics | Statement: [Aurélia Thierrée, hasPerformanceElement, acrobatics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformanceElement Context triple: [Aurélia Thierrée, hasPerformanceElement, acrobatics]
-
A.
hasPerformanceConvention
Indicates that there is an agreed-upon set of rules, norms, or standards governing how a particular performance or activity should be carried out.
-
B.
hasPerformanceLocation
Indicates that an event, performance, or show takes place at a specified location or venue.
-
C.
hasPerformanceContext
Indicates that an entity is associated with a specific performance-related situation, setting, or set of conditions under which it operates or is evaluated.
-
D.
hasPerformanceRoute
Indicates that there is a defined path, sequence, or configuration through which a performance or execution is carried out.
-
E.
hasPerformancePackage
Indicates that an entity is equipped with or associated with a specific performance-enhancing package or upgrade.
- F. None of above. chosen
Provenance (4 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
| PDg | Predicate description generation | batch_69cae7e47c5c8190bca90d45b3cdc25e |
completed | March 30, 2026, 9:15 p.m. |
Created at: March 30, 2026, 4:24 p.m.