Triple
T14657868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tie Me Up! Tie Me Down! |
E344155
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Loles León
Loles León is a Spanish actress best known for her work in Pedro Almodóvar films and popular Spanish television comedies.
|
E1112214
|
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: Loles León | Statement: [Tie Me Up! Tie Me Down!, starring, Loles León]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loles León Context triple: [Tie Me Up! Tie Me Down!, starring, Loles León]
-
A.
Guilloto León
Guilloto León is the family name of Spanish Republican general Juan Modesto, a prominent military leader during the Spanish Civil War.
-
B.
Leynar
Leynar is a small coastal village on the island of Streymoy in the Faroe Islands, known for its scenic shoreline and surrounding mountains.
-
C.
Mongo Santamaría
Mongo Santamaría was a Cuban percussionist and bandleader renowned for blending Afro-Cuban rhythms with jazz and popular music.
-
D.
Carvajal
Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
-
E.
Lorenzo Daza
Lorenzo Daza is a character in Gabriel García Márquez’s novel "Love in the Time of Cholera," known as the ambitious and socially aspiring father of Fermina Daza.
- 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: Loles León Triple: [Tie Me Up! Tie Me Down!, starring, Loles León]
Generated description
Loles León is a Spanish actress best known for her work in Pedro Almodóvar films and popular Spanish television comedies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loles León Target entity description: Loles León is a Spanish actress best known for her work in Pedro Almodóvar films and popular Spanish television comedies.
-
A.
Guilloto León
Guilloto León is the family name of Spanish Republican general Juan Modesto, a prominent military leader during the Spanish Civil War.
-
B.
Leynar
Leynar is a small coastal village on the island of Streymoy in the Faroe Islands, known for its scenic shoreline and surrounding mountains.
-
C.
Mongo Santamaría
Mongo Santamaría was a Cuban percussionist and bandleader renowned for blending Afro-Cuban rhythms with jazz and popular music.
-
D.
Carvajal
Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
-
E.
Lorenzo Daza
Lorenzo Daza is a character in Gabriel García Márquez’s novel "Love in the Time of Cholera," known as the ambitious and socially aspiring father of Fermina Daza.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e01cd081909c71fdcf67c3b1f5 |
completed | May 8, 2026, 12:24 p.m. |
| NEDg | Description generation | batch_69fdd65a6c24819088fb18ffcdfe6404 |
completed | May 8, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd6f172288190ba7097518b1a971e |
completed | May 8, 2026, 12:28 p.m. |
Created at: April 10, 2026, 1:27 a.m.