Triple
T34256724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Aniston |
E878905
|
entity |
| Predicate | performanceTypeInCake |
P198090
|
FINISHED |
| Object | against-type dramatic role |
—
|
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: against-type dramatic role | Statement: [Jennifer Aniston, performanceTypeInCake, against-type dramatic role]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceTypeInCake Context triple: [Jennifer Aniston, performanceTypeInCake, against-type dramatic role]
-
A.
performanceTypeInFilm
Indicates that a particular type or category of performance is featured or occurs within a specific film.
-
B.
pastryType
Indicates the specific kind or category of pastry that an item belongs to.
-
C.
performanceClass
Indicates the category or level of performance to which an entity is assigned, typically reflecting its capabilities or quality tier.
-
D.
performanceBasis
Indicates that one entity’s performance is evaluated, determined, or justified on the basis of another specified factor, standard, or reference.
-
E.
performanceModel
Indicates a relationship where one entity serves as a performance model that represents, predicts, or characterizes the performance behavior of another entity.
- 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fec8aef1d8819094c7fd7074038e6b |
completed | May 9, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69fec639876481908efd84a3631a4271 |
completed | May 9, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69fec8adaa308190a9a276f8c36f15f0 |
completed | May 9, 2026, 5:39 a.m. |
Created at: May 1, 2026, 1:56 a.m.