Triple
T16649603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pia |
E404566
|
entity |
| Predicate | isGivenNameOf |
P17
|
FINISHED |
| Object |
Pia Wurtzbach
Pia Wurtzbach is a Filipina-German actress, model, and beauty queen best known for being crowned Miss Universe 2015.
|
E1226252
|
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: Pia Wurtzbach | Statement: [Pia, isGivenNameOf, Pia Wurtzbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pia Wurtzbach Context triple: [Pia, isGivenNameOf, Pia Wurtzbach]
-
A.
Leticia Dolera
Leticia Dolera is a Spanish actress, director, and screenwriter known for her work in film and television as well as her outspoken feminist activism.
-
B.
Athena Bautista
Athena Bautista is the daughter of American actor and former professional wrestler Dave Bautista.
-
C.
Daniella Pineda
Daniella Pineda is an American actress known for her roles in film and television, including major parts in genre projects like Jurassic World: Fallen Kingdom and the live-action Cowboy Bebop series.
-
D.
Leona Philippo
Leona Philippo is a Dutch singer and performer who gained national fame after winning the popular televised talent competition The Voice of Holland.
-
E.
Rebeca Andrade
Rebeca Andrade is an educational leader who serves as the superintendent of the Ravenswood City School District in California.
- 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: Pia Wurtzbach Triple: [Pia, isGivenNameOf, Pia Wurtzbach]
Generated description
Pia Wurtzbach is a Filipina-German actress, model, and beauty queen best known for being crowned Miss Universe 2015.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pia Wurtzbach Target entity description: Pia Wurtzbach is a Filipina-German actress, model, and beauty queen best known for being crowned Miss Universe 2015.
-
A.
Leticia Dolera
Leticia Dolera is a Spanish actress, director, and screenwriter known for her work in film and television as well as her outspoken feminist activism.
-
B.
Athena Bautista
Athena Bautista is the daughter of American actor and former professional wrestler Dave Bautista.
-
C.
Daniella Pineda
Daniella Pineda is an American actress known for her roles in film and television, including major parts in genre projects like Jurassic World: Fallen Kingdom and the live-action Cowboy Bebop series.
-
D.
Leona Philippo
Leona Philippo is a Dutch singer and performer who gained national fame after winning the popular televised talent competition The Voice of Holland.
-
E.
Rebeca Andrade
Rebeca Andrade is an educational leader who serves as the superintendent of the Ravenswood City School District in California.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad85ec881909dc6a434a363dab1 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c2a8448190a9f05bc7e1ce7a05 |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a008607434481909d41e7b8d6f9a4a3 |
completed | May 10, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00868e55dc8190bfc7cd1b78ec4d6d |
completed | May 10, 2026, 1:22 p.m. |
Created at: April 10, 2026, 5:18 a.m.