Triple
T9326996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Broderick as Mabel Anderson |
E224412
|
entity |
| Predicate | screenAppearanceType |
P69406
|
FINISHED |
| Object | live-action |
—
|
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: live-action | Statement: [Helen Broderick as Mabel Anderson, screenAppearanceType, live-action]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenAppearanceType Context triple: [Helen Broderick as Mabel Anderson, screenAppearanceType, live-action]
-
A.
platformAppearance
Indicates how an entity is visually presented or styled on a particular platform or interface.
-
B.
mediaAppearanceType
chosen
Indicates the specific kind or category of media appearance associated with an entity (e.g., interview, feature, cameo, or performance).
-
C.
displayConfiguration
Indicates a relationship where one entity defines or presents the arrangement, layout, or settings used to visually display another entity.
-
D.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
E.
touchscreenType
Indicates the specific kind or technology of touchscreen associated with an entity.
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37aa78648190b786b50402b15569 |
completed | April 1, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:39 p.m.