Triple
T27241523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. and Mrs. Smith (1941 film) |
E687219
|
entity |
| Predicate | hasAlfredHitchcockCameo |
P75903
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mr. and Mrs. Smith (1941 film), hasAlfredHitchcockCameo, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlfredHitchcockCameo Context triple: [Mr. and Mrs. Smith (1941 film), hasAlfredHitchcockCameo, true]
-
A.
hasDirectorCameo
chosen
Indicates that the director of a work appears in a cameo role within that same work.
-
B.
hasHumanCast
Indicates that a work or production features human performers as part of its cast.
-
C.
featuredInFilmBy
Indicates that an entity is prominently included or showcased within a film that is created, directed, or produced by a specified person or organization.
-
D.
mentionedInFilm
Indicates that an entity is referenced or talked about within the content of a film.
-
E.
hasImaginaryFilmCredits
Indicates that an entity is (falsely or fictionally) credited with roles or contributions in films that do not actually exist or did not actually involve them.
- 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 27, 2026, 10:38 a.m.