Triple
T13998491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tillana |
E336761
|
entity |
| Predicate | performanceFunction |
P112099
|
FINISHED |
| Object | joyful conclusion to a recital |
—
|
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: joyful conclusion to a recital | Statement: [Tillana, performanceFunction, joyful conclusion to a recital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceFunction Context triple: [Tillana, performanceFunction, joyful conclusion to a recital]
-
A.
evaluationFunction
Indicates a relationship where a specific procedure or rule assigns a value or score to an input, typically to assess its quality, utility, or desirability.
-
B.
performanceModel
Indicates a relationship where one entity serves as a performance model that represents, predicts, or characterizes the performance behavior of another entity.
-
C.
performanceFocus
Indicates that an entity directs attention or effort toward improving or emphasizing performance in a given context.
-
D.
performanceBasis
Indicates that one entity’s performance is evaluated, determined, or justified on the basis of another specified factor, standard, or reference.
-
E.
valueFunctionShape
Indicates the mathematical form or structural pattern of a value function used to evaluate states, actions, or outcomes in a decision or optimization process.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:19 p.m.