Triple
T22052120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Globe de Cristal Award |
E544910
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Jacques Pessis
Jacques Pessis is a French journalist, writer, and media personality known for his work in radio, television, and cultural events.
|
E1516125
|
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: Jacques Pessis | Statement: [Globe de Cristal Award, creator, Jacques Pessis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacques Pessis Context triple: [Globe de Cristal Award, creator, Jacques Pessis]
-
A.
Serge Perron
Serge Perron is a Canadian film and television actor known for his supporting roles in various Canadian productions.
-
B.
Serge Vachon
Serge Vachon is an individual notable enough to be recognized as a prominent bearer of the Vachon surname.
-
C.
Jacques Poirrier
Jacques Poirrier was an architect involved in the postwar urban design and reconstruction of the city center of Le Havre, France.
-
D.
Claude Perron
Claude Perron is a French actress known for her roles in films such as "Amélie" and the television series "WorkinGirls."
-
E.
Garry Lejeune
Garry Lejeune is a bumbling, tongue-tied actor in Michael Frayn’s farce "Noises Off," known for his romantic entanglements and frequent line mix-ups.
- 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: Jacques Pessis Triple: [Globe de Cristal Award, creator, Jacques Pessis]
Generated description
Jacques Pessis is a French journalist, writer, and media personality known for his work in radio, television, and cultural events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jacques Pessis Target entity description: Jacques Pessis is a French journalist, writer, and media personality known for his work in radio, television, and cultural events.
-
A.
Serge Perron
Serge Perron is a Canadian film and television actor known for his supporting roles in various Canadian productions.
-
B.
Serge Vachon
Serge Vachon is an individual notable enough to be recognized as a prominent bearer of the Vachon surname.
-
C.
Jacques Poirrier
Jacques Poirrier was an architect involved in the postwar urban design and reconstruction of the city center of Le Havre, France.
-
D.
Claude Perron
Claude Perron is a French actress known for her roles in films such as "Amélie" and the television series "WorkinGirls."
-
E.
Garry Lejeune
Garry Lejeune is a bumbling, tongue-tied actor in Michael Frayn’s farce "Noises Off," known for his romantic entanglements and frequent line mix-ups.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285513fc8190b691e1f57085956f |
completed | April 28, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b7b3ccc8190a4d8728b135aa22d |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c2705e48190aebbc7b0b6221757 |
completed | May 18, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7ce3c684819090b25ca1e7596722 |
completed | May 18, 2026, 2:43 a.m. |
Created at: April 16, 2026, 8:26 p.m.