Triple
T36187062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disco Pigs |
E1046874
|
entity |
| Predicate | leadActorForCharacterRunt |
P166850
|
FINISHED |
| Object | Elaine Cassidy |
—
|
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: Elaine Cassidy | Statement: [Disco Pigs, leadActorForCharacterRunt, Elaine Cassidy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorForCharacterRunt Context triple: [Disco Pigs, leadActorForCharacterRunt, Elaine Cassidy]
-
A.
leadRoleActor
chosen
Indicates that an actor performs a leading or principal role in a work or production.
-
B.
leadCharacterCaste
Indicates that the lead character in a work belongs to a specified caste.
-
C.
leadCharacterBasedOn
Indicates that a lead character is derived from, inspired by, or adapted from a particular source entity (such as a real person, another character, or existing work).
-
D.
leadActorOfAdaptation
Indicates that a person is the main actor in a specific adaptation of a work (such as a film, series, or stage version).
-
E.
leadActorRolePattern
Indicates a recurring or characteristic type of role that an actor typically plays as a leading performer in productions.
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:08 p.m.