Triple
T6162259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mia Thermopolis |
E137468
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Philippe Renaldi
Philippe Renaldi is the royal father of Mia Thermopolis in "The Princess Diaries," serving as the late Crown Prince whose legacy propels her unexpected journey into princesshood.
|
E671620
|
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: Philippe Renaldi | Statement: [Mia Thermopolis, parent, Philippe Renaldi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippe Renaldi Context triple: [Mia Thermopolis, parent, Philippe Renaldi]
-
A.
Philippe Martin
Philippe Martin is a French film producer known for his work on acclaimed European cinema.
-
B.
Patrick Baudry
Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
-
C.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
D.
Jean-Philippe Lauer
Jean-Philippe Lauer was a French archaeologist best known for his decades-long work restoring and studying the Step Pyramid complex of Djoser at Saqqara in Egypt.
-
E.
Philippe Martinaud
Philippe Martinaud is a lighting designer known for creating the illumination scheme of Tbilisi’s iconic Bridge of Peace.
- 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: Philippe Renaldi Triple: [Mia Thermopolis, parent, Philippe Renaldi]
Generated description
Philippe Renaldi is the royal father of Mia Thermopolis in "The Princess Diaries," serving as the late Crown Prince whose legacy propels her unexpected journey into princesshood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philippe Renaldi Target entity description: Philippe Renaldi is the royal father of Mia Thermopolis in "The Princess Diaries," serving as the late Crown Prince whose legacy propels her unexpected journey into princesshood.
-
A.
Philippe Martin
Philippe Martin is a French film producer known for his work on acclaimed European cinema.
-
B.
Patrick Baudry
Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
-
C.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
D.
Jean-Philippe Lauer
Jean-Philippe Lauer was a French archaeologist best known for his decades-long work restoring and studying the Step Pyramid complex of Djoser at Saqqara in Egypt.
-
E.
Philippe Martinaud
Philippe Martinaud is a lighting designer known for creating the illumination scheme of Tbilisi’s iconic Bridge of Peace.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d371484819090c18b62b095b49e |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ece7e2881909da0e81ccf8c4eb4 |
completed | March 28, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69c84faac480819096d19dbcd50aa178 |
completed | March 28, 2026, 10:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c850327c8c81908c3e1ccf58b5bd74 |
completed | March 28, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:17 p.m.