Triple
T15199291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Happy Prince |
E363221
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Philippe Bober
Philippe Bober is a European film producer known for backing distinctive arthouse and auteur-driven cinema.
|
E1325229
|
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 Bober | Statement: [The Happy Prince, producer, Philippe Bober]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippe Bober Context triple: [The Happy Prince, producer, Philippe Bober]
-
A.
Philippe Borbouse
Philippe Borbouse is a Belgian local politician who serves as the mayor of the municipality of Sombreffe.
-
B.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
C.
Philippe Pemezec
Philippe Pemezec is a French politician known for serving as mayor of the Parisian suburb Le Plessis-Robinson.
-
D.
Philippe Knoche
Philippe Knoche is a French business executive best known for leading the nuclear energy group Areva through a major restructuring of France’s atomic industry.
-
E.
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.
- 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 Bober Triple: [The Happy Prince, producer, Philippe Bober]
Generated description
Philippe Bober is a European film producer known for backing distinctive arthouse and auteur-driven cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philippe Bober Target entity description: Philippe Bober is a European film producer known for backing distinctive arthouse and auteur-driven cinema.
-
A.
Philippe Borbouse
Philippe Borbouse is a Belgian local politician who serves as the mayor of the municipality of Sombreffe.
-
B.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
C.
Philippe Pemezec
Philippe Pemezec is a French politician known for serving as mayor of the Parisian suburb Le Plessis-Robinson.
-
D.
Philippe Knoche
Philippe Knoche is a French business executive best known for leading the nuclear energy group Areva through a major restructuring of France’s atomic industry.
-
E.
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.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fc34f4c8190a1ae536e544b2543 |
completed | May 13, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a04123430308190af22a11b2151c8b8 |
completed | May 13, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04131eb4988190af4024bfcad648bc |
completed | May 13, 2026, 5:58 a.m. |
Created at: April 10, 2026, 3:10 a.m.