Triple
T7695982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manalo |
E174370
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Mutya Orquia
Mutya Orquia is a Filipino child actress best known for her roles in popular Philippine television dramas and series.
|
E683554
|
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: Mutya Orquia | Statement: [Manalo, hasNotableBearer, Mutya Orquia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutya Orquia Context triple: [Manalo, hasNotableBearer, Mutya Orquia]
-
A.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
B.
Osorio Balvín
Osorio Balvín is the surname of Colombian reggaeton singer and global Latin music star J Balvin.
-
C.
Dulce María Loynaz
Dulce María Loynaz was a renowned Cuban poet and writer, celebrated as one of the most important voices in 20th-century Cuban and Latin American literature.
-
D.
Isela Vega
Isela Vega was a renowned Mexican actress, singer, and filmmaker known for her bold, groundbreaking roles in Mexican cinema and cult films of the 1970s.
-
E.
Michelle Navarro
Michelle Navarro is an individual notable enough to be recognized as a prominent bearer of the Navarro surname.
- 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: Mutya Orquia Triple: [Manalo, hasNotableBearer, Mutya Orquia]
Generated description
Mutya Orquia is a Filipino child actress best known for her roles in popular Philippine television dramas and series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mutya Orquia Target entity description: Mutya Orquia is a Filipino child actress best known for her roles in popular Philippine television dramas and series.
-
A.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
B.
Osorio Balvín
Osorio Balvín is the surname of Colombian reggaeton singer and global Latin music star J Balvin.
-
C.
Dulce María Loynaz
Dulce María Loynaz was a renowned Cuban poet and writer, celebrated as one of the most important voices in 20th-century Cuban and Latin American literature.
-
D.
Isela Vega
Isela Vega was a renowned Mexican actress, singer, and filmmaker known for her bold, groundbreaking roles in Mexican cinema and cult films of the 1970s.
-
E.
Michelle Navarro
Michelle Navarro is an individual notable enough to be recognized as a prominent bearer of the Navarro surname.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70267dab88190ac8e3f643343bf13 |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acaa6004819088f1ae45ad9b378e |
completed | March 29, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69c8adf82b5481908bb556a15ff942fd |
completed | March 29, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8ae9096ac8190af6fdfbfc35200cd |
completed | March 29, 2026, 4:46 a.m. |
Created at: March 27, 2026, 4:03 p.m.