Triple
T26507099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen Dotrice |
E669575
|
entity |
| Predicate | cameoAppearanceIn |
P108137
|
FINISHED |
| Object | Mary Poppins Returns |
—
|
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: Mary Poppins Returns | Statement: [Karen Dotrice, cameoAppearanceIn, Mary Poppins Returns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameoAppearanceIn Context triple: [Karen Dotrice, cameoAppearanceIn, Mary Poppins Returns]
-
A.
cameoCharacter
chosen
Indicates that one entity appears briefly or in a minor, special-guest role within the context or work associated with another entity.
-
B.
notableAppearanceIn
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
-
C.
tvShowAppearance
Indicates that an entity appears or participates in a particular television show.
-
D.
notableAppearance
Indicates that an entity is prominently featured or makes a significant appearance in another work, event, or context.
-
E.
hasDirectorCameo
Indicates that the director of a work appears in a cameo role within that same work.
- 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6138e8f508190898b55c271967d95 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:17 a.m.