Triple
T24405176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Good |
E615291
|
entity |
| Predicate | entranceThemeUsed |
P44166
|
FINISHED |
| Object | Special Op (WWE, with The Shield) |
—
|
NE NERFINISHED |
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: Special Op (WWE, with The Shield) | Statement: [Jonathan Good, entranceThemeUsed, Special Op (WWE, with The Shield)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entranceThemeUsed Context triple: [Jonathan Good, entranceThemeUsed, Special Op (WWE, with The Shield)]
-
A.
entranceTheme
chosen
Indicates the music or theme that plays when an entity makes their entrance or initial appearance.
-
B.
hasEntrance
Indicates that one entity possesses or provides an entry point or access way to another entity or space.
-
C.
entranceDesigner
Indicates that an entity is responsible for designing the entrance of a building, structure, or space.
-
D.
entranceColorScheme
Indicates the color arrangement or palette used for an entrance area in relation to a space or structure.
-
E.
entranceGimmick
Indicates a distinctive feature, stunt, or presentation style used when someone or something makes an entrance.
- 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294de76848190bd2cf3c7add2dcf1 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.