Triple
T38282996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Sand |
E1022126
|
entity |
| Predicate | motherDaughterActors |
P190606
|
FINISHED |
| Object | Fernanda Montenegro and Fernanda Torres |
—
|
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: Fernanda Montenegro and Fernanda Torres | Statement: [House of Sand, motherDaughterActors, Fernanda Montenegro and Fernanda Torres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motherDaughterActors Context triple: [House of Sand, motherDaughterActors, Fernanda Montenegro and Fernanda Torres]
-
A.
directorFatherOfLeadActress
Indicates that the film’s director is the father of the lead actress.
-
B.
directorSpouseInCast
Indicates that a film’s director is married to someone who appears as a cast member in that same film.
-
C.
hasSpouseActorsInLeads
Indicates that the primary leading roles in a work are performed by actors who are spouses of each other.
-
D.
hasOnScreenDaughtersPlayedBy
Indicates that a person has daughters depicted in a screen production who are portrayed by the specified actor or actors.
-
E.
performedInFilmOpposite
Indicates that two performers acted together in significant, often directly interacting roles in the same film.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fccbd6b7688190b746803cf78d5704 |
completed | May 7, 2026, 5:28 p.m. |
Created at: May 3, 2026, 4:30 p.m.