Triple
T12436799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marrowbone |
E297163
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Sergio G. Sánchez |
E431586
|
NE 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: Sergio G. Sánchez | Statement: [Marrowbone, screenwriter, Sergio G. Sánchez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sergio G. Sánchez Context triple: [Marrowbone, screenwriter, Sergio G. Sánchez]
-
A.
Sergio G. Sánchez
chosen
Sergio G. Sánchez is a Spanish screenwriter and director best known for his work on acclaimed horror and drama films, including collaborations with filmmaker J.A. Bayona.
-
B.
Andrés García-Lorido
Andrés García-Lorido is a member of the García-Lorido family, known in part through their connections to the entertainment industry.
-
C.
Gonzalo López-Gallego
Gonzalo López-Gallego is a Spanish film director known for his work in genre cinema, including thrillers and science fiction films.
-
D.
Alejandro Rojas-Marcos
Alejandro Rojas-Marcos is a Spanish psychiatrist and politician known for his work in mental health and his role in Andalusian and Sevillian public life.
-
E.
J. David López-Salido
J. David López-Salido is an economist known for his coauthored research in macroeconomics and monetary policy, including work with Jordi Galí.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8c8fd481909b35ac504127a1b6 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9383088190a0194cd0e666d11c |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 8, 2026, 9:55 p.m.