Triple
T21906125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ana Torrent |
E540942
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
La petición
La petición is a Spanish film featuring actress Ana Torrent in a prominent role.
|
E1507564
|
NE FINISHED |
How this triple was built (4 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: La petición | Statement: [Ana Torrent, notableWork, La petición]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La petición Context triple: [Ana Torrent, notableWork, La petición]
-
A.
The Last Request
The Last Request is a 2006 independent comedy film about a dying patriarch whose final wish throws his dysfunctional family into chaos.
-
B.
The Summons
The Summons is a 1920 adventure novel by A. E. W. Mason that follows a British officer drawn into espionage and intrigue in the years leading up to the First World War.
-
C.
The Summons
The Summons is a legal thriller novel by John Grisham that follows a law professor who uncovers a mysterious stash of cash among his late father's belongings, drawing him into danger and intrigue.
-
D.
La tarea prohibida
La tarea prohibida is a Mexican film featuring acclaimed actress Ana Ofelia Murguía in a prominent role.
-
E.
The Intrigue
The Intrigue is a famous 1890 painting by Belgian expressionist James Ensor, known for its grotesque masked figures and satirical depiction of bourgeois society.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: La petición Triple: [Ana Torrent, notableWork, La petición]
Generated description
La petición is a Spanish film featuring actress Ana Torrent in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La petición Target entity description: La petición is a Spanish film featuring actress Ana Torrent in a prominent role.
-
A.
The Last Request
The Last Request is a 2006 independent comedy film about a dying patriarch whose final wish throws his dysfunctional family into chaos.
-
B.
The Summons
The Summons is a 1920 adventure novel by A. E. W. Mason that follows a British officer drawn into espionage and intrigue in the years leading up to the First World War.
-
C.
The Summons
The Summons is a legal thriller novel by John Grisham that follows a law professor who uncovers a mysterious stash of cash among his late father's belongings, drawing him into danger and intrigue.
-
D.
La tarea prohibida
La tarea prohibida is a Mexican film featuring acclaimed actress Ana Ofelia Murguía in a prominent role.
-
E.
The Intrigue
The Intrigue is a famous 1890 painting by Belgian expressionist James Ensor, known for its grotesque masked figures and satirical depiction of bourgeois society.
- F. None of above. chosen
Provenance (5 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d62a648190af7074251dc6a03a |
completed | April 28, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a5a08c4dc81908b7d90278ea4bc8c |
completed | May 18, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_6a0a5ac52b588190b685aacc06cac3d0 |
completed | May 18, 2026, 12:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5b7724188190bcdf44436cd8da26 |
completed | May 18, 2026, 12:21 a.m. |
Created at: April 16, 2026, 7:36 p.m.