Triple
T36539007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddie Trumper |
E900664
|
entity |
| Predicate | playsOpeningStyle |
P187092
|
FINISHED |
| Object | aggressive |
—
|
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: aggressive | Statement: [Freddie Trumper, playsOpeningStyle, aggressive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsOpeningStyle Context triple: [Freddie Trumper, playsOpeningStyle, aggressive]
-
A.
openingStage
Indicates the initial phase or first part of a process, event, or sequence in which subsequent stages will follow.
-
B.
openingSequence
Indicates the initial ordered set of actions or events that begin a process, performance, or interaction.
-
C.
openingTheme
Indicates that one entity serves as the opening theme (such as a song or musical piece) for another entity, typically a show, series, or similar work.
-
D.
openingPractice
Indicates the practice or rehearsal of opening moves, procedures, or initial actions in a given context.
-
E.
openingThemePerformer
Indicates the performer or group responsible for performing the opening theme of a work (such as a TV show, film, or game).
- 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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: May 3, 2026, 4:11 p.m.