Triple
T11402338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matilde Muñoz Sampedro |
E270142
|
entity |
| Predicate | relationshipToJavierBardem |
P99119
|
FINISHED |
| Object | grandmother |
—
|
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: grandmother | Statement: [Matilde Muñoz Sampedro, relationshipToJavierBardem, grandmother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToJavierBardem Context triple: [Matilde Muñoz Sampedro, relationshipToJavierBardem, grandmother]
-
A.
associatedWithActorPlayingBond
Indicates that one entity has a relationship or connection with an actor who has played the character James Bond.
-
B.
playedBy
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
C.
portrayedBySpouseOf
Indicates that something is portrayed or depicted by the spouse of a given entity.
-
D.
directorSpouseInCast
Indicates that a film’s director is married to someone who appears as a cast member in that same film.
-
E.
hasRomanticTensionWith
Indicates a mutual or one-sided romantic attraction or unresolved romantic interest existing between two entities.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e70ffd708190b62a78ebcbce9f78 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:34 p.m.