Triple
T20609842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happiness (TV series) |
E506417
|
entity |
| Predicate | starActorRole |
P5563
|
FINISHED |
| Object | Paul Whitehouse as a successful voice-over artist |
—
|
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: Paul Whitehouse as a successful voice-over artist | Statement: [Happiness (TV series), starActorRole, Paul Whitehouse as a successful voice-over artist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starActorRole Context triple: [Happiness (TV series), starActorRole, Paul Whitehouse as a successful voice-over artist]
-
A.
starredActor
chosen
Indicates that an actor performed a leading or significant role in a particular production or work.
-
B.
starOccupation
Indicates that an entity is the primary or featured performer in a particular occupation, role, or professional capacity.
-
C.
actingRoleType
Indicates the specific type or category of role an entity performs when acting in a particular capacity or function.
-
D.
actorRole
Indicates that an entity participates in an event or action in a specific capacity or function (such as performer, initiator, or responsible party).
-
E.
entertainmentRole
Indicates that an entity holds a specific function or position within an entertainment context (such as a role in a performance, production, or media 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad5e53c8190b0add34ce9b31d57 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:41 a.m.