Triple
T26446211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life on the Road |
E665219
|
entity |
| Predicate | leadActorReprisesRoleFrom |
P151721
|
FINISHED |
| Object | The Office (UK) |
—
|
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: The Office (UK) | Statement: [Life on the Road, leadActorReprisesRoleFrom, The Office (UK)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorReprisesRoleFrom Context triple: [Life on the Road, leadActorReprisesRoleFrom, The Office (UK)]
-
A.
leadCharacterPreviouslyAppearedIn
chosen
Indicates that the lead character of the current work has appeared before in a prior work or context.
-
B.
creditedRoleOf
Indicates that a particular role or position is formally acknowledged as being held or performed by a specific entity in a credit or attribution context.
-
C.
leadActorComebackFilm
Indicates that a film marks the return or comeback performance of its lead actor after a period of absence or decline.
-
D.
replacesInLeadRole
Indicates that one entity takes over or substitutes for another entity in the primary or leading role within a given context or production.
-
E.
hasPortrayedRole
Indicates that an entity has performed or depicted a specific role or character, typically in a work such as a film, play, or television show.
- 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6126143108190a6388795a710917d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 12:02 a.m.