Triple
T29099299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Laundromat |
E735095
|
entity |
| Predicate | actorForCharacterRamónFonseca |
P94795
|
FINISHED |
| Object | Antonio Banderas |
—
|
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: Antonio Banderas | Statement: [The Laundromat, actorForCharacterRamónFonseca, Antonio Banderas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actorForCharacterRamónFonseca Context triple: [The Laundromat, actorForCharacterRamónFonseca, Antonio Banderas]
-
A.
characterVoicedBy John Leguizamo
Indicates that the character is voiced by John Leguizamo.
-
B.
directorCharacterOf
Indicates that a director is responsible for directing a particular character in a work (e.g., film, TV show, or play).
-
C.
performerCharacterName
chosen
Indicates that a performer is associated with or portrays a specific character name in a performance or work.
-
D.
mainActorForCharacter_CharlieCrews
Indicates that the referenced person is the primary actor who portrays the character Charlie Crews.
-
E.
actorForCharacter Jack Bruhn
Indicates that Jack Bruhn is the actor who portrays or performs the role of a particular character.
- 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_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_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 11:11 a.m.