Triple
T8960356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paola Núñez |
E213984
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sin ella
"Sin ella" is a Mexican film featuring actress Paola Núñez in a prominent role.
|
E770371
|
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: Sin ella | Statement: [Paola Núñez, notableWork, Sin ella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sin ella Context triple: [Paola Núñez, notableWork, Sin ella]
-
A.
And She Was
"And She Was" is a 1985 new wave song by Talking Heads, known for its surreal lyrics and upbeat, guitar-driven sound.
-
B.
Two Women
Two Women is a 1960 Italian war drama film directed by Vittorio De Sica, best known for Sophia Loren’s Oscar-winning performance as a mother struggling to protect her daughter during World War II.
-
C.
Two Women
Two Women is a Russian drama film directed by Vera Glagoleva, adapted from Ivan Turgenev’s play "A Month in the Country" and known for its period setting and emotional romantic entanglements.
-
D.
Pour elle
Pour elle is a 2008 French thriller film about a man who devises an elaborate plan to break his wrongfully imprisoned wife out of jail.
-
E.
Senorita
"Señorita" is a song featured on the album "No Way Out," known for its smooth blend of R&B and hip-hop influences.
- 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: Sin ella Triple: [Paola Núñez, notableWork, Sin ella]
Generated description
"Sin ella" is a Mexican film featuring actress Paola Núñez in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sin ella Target entity description: "Sin ella" is a Mexican film featuring actress Paola Núñez in a prominent role.
-
A.
And She Was
"And She Was" is a 1985 new wave song by Talking Heads, known for its surreal lyrics and upbeat, guitar-driven sound.
-
B.
Two Women
Two Women is a 1960 Italian war drama film directed by Vittorio De Sica, best known for Sophia Loren’s Oscar-winning performance as a mother struggling to protect her daughter during World War II.
-
C.
Two Women
Two Women is a Russian drama film directed by Vera Glagoleva, adapted from Ivan Turgenev’s play "A Month in the Country" and known for its period setting and emotional romantic entanglements.
-
D.
Pour elle
Pour elle is a 2008 French thriller film about a man who devises an elaborate plan to break his wrongfully imprisoned wife out of jail.
-
E.
Senorita
"Señorita" is a song featured on the album "No Way Out," known for its smooth blend of R&B and hip-hop influences.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6746fbf88190aba658b4b9c2e4b0 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc94ab868819080ff3fc7532a3874 |
completed | April 3, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69cfcd33936c8190bcbb0861e330b895 |
completed | April 3, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfcdd61ff8819097ca9662aa42cb4a |
completed | April 3, 2026, 2:25 p.m. |
Created at: March 30, 2026, 7 p.m.