Triple
T3621583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megamind |
E76738
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Philippe Denis
Philippe Denis is a cinematographer best known for his work on the animated film "Megamind."
|
E372949
|
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 Denis | Statement: [Megamind, cinematographyBy, Philippe Denis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippe Denis Context triple: [Megamind, cinematographyBy, Philippe Denis]
-
A.
Nicolas Chapados
Nicolas Chapados is a Canadian entrepreneur and artificial intelligence researcher best known as a co-founder of the AI company Element AI.
-
B.
Philippe Leonelli
Philippe Leonelli is a French local politician who serves as the mayor of the Mediterranean coastal town of Cavalaire-sur-Mer.
-
C.
Grégoire Lyonnet
Grégoire Lyonnet is a French professional dancer best known for his appearances on the TV show "Danse avec les stars" and his marriage to singer Alizée.
-
D.
Philippe Mora
Philippe Mora is a Catholic priest best known as one of the co-founders of the traditionalist Institute of Christ the King Sovereign Priest.
-
E.
Olivier Faure
Olivier Faure is a French politician who has served as the First Secretary and leading figure of the Socialist Party in France.
- 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 Denis Triple: [Megamind, cinematographyBy, Philippe Denis]
Generated description
Philippe Denis is a cinematographer best known for his work on the animated film "Megamind."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philippe Denis Target entity description: Philippe Denis is a cinematographer best known for his work on the animated film "Megamind."
-
A.
Nicolas Chapados
Nicolas Chapados is a Canadian entrepreneur and artificial intelligence researcher best known as a co-founder of the AI company Element AI.
-
B.
Philippe Leonelli
Philippe Leonelli is a French local politician who serves as the mayor of the Mediterranean coastal town of Cavalaire-sur-Mer.
-
C.
Grégoire Lyonnet
Grégoire Lyonnet is a French professional dancer best known for his appearances on the TV show "Danse avec les stars" and his marriage to singer Alizée.
-
D.
Philippe Mora
Philippe Mora is a Catholic priest best known as one of the co-founders of the traditionalist Institute of Christ the King Sovereign Priest.
-
E.
Olivier Faure
Olivier Faure is a French politician who has served as the First Secretary and leading figure of the Socialist Party in France.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bb12cc8190bd67597cf3b66a3a |
completed | March 8, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4331e75d08190ad1ce3e7ef26454a |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b436140e9c81909c0616e6fce36c2b |
completed | March 13, 2026, 4:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b439c83580819091024e692847a7db |
completed | March 13, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:23 p.m.