Triple
T10859499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitch Mahoney |
E256360
|
entity |
| Predicate | appearsOnStageAs |
P24836
|
FINISHED |
| Object | adult character |
—
|
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: adult character | Statement: [Mitch Mahoney, appearsOnStageAs, adult character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsOnStageAs Context triple: [Mitch Mahoney, appearsOnStageAs, adult character]
-
A.
hasStageAppearance
Indicates that an entity makes or has made a performance or appearance on a stage, typically before an audience.
-
B.
appearsAs
chosen
Indicates that one entity is presented, perceived, or manifested in the form, role, or guise of another entity.
-
C.
appearsWithActor
Indicates that one entity appears together on screen or in a scene with a specified actor.
-
D.
usesStage
Indicates that one entity employs or operates on another entity at a particular phase or stage within a process or workflow.
-
E.
appearsWithCharacter
Indicates that two characters are shown or present together within the same scene, shot, or context.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75150ceb88190a70356d12ce130c5 |
completed | April 9, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.