Triple
T29099297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Laundromat |
E735095
|
entity |
| Predicate | actorForCharacterJürgenMossack |
P166316
|
FINISHED |
| Object | Gary Oldman |
—
|
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: Gary Oldman | Statement: [The Laundromat, actorForCharacterJürgenMossack, Gary Oldman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actorForCharacterJürgenMossack Context triple: [The Laundromat, actorForCharacterJürgenMossack, Gary Oldman]
-
A.
actorForCharacter Jack Bruhn
Indicates that Jack Bruhn is the actor who portrays or performs the role of a particular character.
-
B.
Jack Hively
Indicates a relationship or action involving the person named Jack Hively, such as authorship, direction, or participation in a work or event.
-
C.
directorCharacterName
Indicates that the specified name is the character name used by the director (or representing the director) within a work.
-
D.
mainActorForCharacter_CharlieCrews
Indicates that the referenced person is the primary actor who portrays the character Charlie Crews.
-
E.
characterVoicedBy Denis Leary
Indicates that the character is voiced by Denis Leary.
- F. None of above. chosen
Provenance (4 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f66184e9208190a66378cac527bca9 |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 11:11 a.m.