Triple
T14990415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Prada to Nada |
E373819
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Angel Gracia
Angel Gracia is a film director best known for helming the romantic comedy "From Prada to Nada."
|
E1131552
|
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: Angel Gracia | Statement: [From Prada to Nada, director, Angel Gracia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angel Gracia Context triple: [From Prada to Nada, director, Angel Gracia]
-
A.
Philippine Welser
Philippine Welser was a 16th-century German patrician’s daughter who became the morganatic wife of Archduke Ferdinand II of Austria and was renowned for her beauty, learning, and charitable works.
-
B.
Nelson Chai
Nelson Chai is a business executive and former Chief Financial Officer of Uber Technologies, known for his leadership roles in major financial and technology companies.
-
C.
Chin-chin Yap
Chin-chin Yap is a film producer best known for her work on Ai Weiwei’s documentary "Human Flow," which explores the global refugee crisis.
-
D.
Rosalie Chiang
Rosalie Chiang is an American actress best known for voicing the main character, Meilin "Mei" Lee, in Pixar's animated film "Turning Red."
-
E.
Dela Cruz
Dela Cruz is a common Spanish-derived surname, especially prevalent in the Philippines and other Spanish-influenced countries.
- 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: Angel Gracia Triple: [From Prada to Nada, director, Angel Gracia]
Generated description
Angel Gracia is a film director best known for helming the romantic comedy "From Prada to Nada."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angel Gracia Target entity description: Angel Gracia is a film director best known for helming the romantic comedy "From Prada to Nada."
-
A.
Philippine Welser
Philippine Welser was a 16th-century German patrician’s daughter who became the morganatic wife of Archduke Ferdinand II of Austria and was renowned for her beauty, learning, and charitable works.
-
B.
Nelson Chai
Nelson Chai is a business executive and former Chief Financial Officer of Uber Technologies, known for his leadership roles in major financial and technology companies.
-
C.
Chin-chin Yap
Chin-chin Yap is a film producer best known for her work on Ai Weiwei’s documentary "Human Flow," which explores the global refugee crisis.
-
D.
Rosalie Chiang
Rosalie Chiang is an American actress best known for voicing the main character, Meilin "Mei" Lee, in Pixar's animated film "Turning Red."
-
E.
Dela Cruz
Dela Cruz is a common Spanish-derived surname, especially prevalent in the Philippines and other Spanish-influenced countries.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7148a308190a687f4d0d61397c6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969683348190bb4688f24227af88 |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe98a230948190b35e2883475cff33 |
completed | May 9, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe993c6094819086f0de1743272fd4 |
completed | May 9, 2026, 2:17 a.m. |
Created at: April 10, 2026, 2:53 a.m.