Triple
T20043759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrice Robitaille |
E497497
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Les Simone
Les Simone is a Quebec television series best known for its comedic and dramatic portrayal of three women navigating friendship, love, and midlife challenges.
|
E1408799
|
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: Les Simone | Statement: [Patrice Robitaille, notableWork, Les Simone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Simone Context triple: [Patrice Robitaille, notableWork, Les Simone]
-
A.
Simone
Simone is a feminine given name of Hebrew origin meaning "hearkening" or "one who listens," widely used across various cultures.
-
B.
Simone
Simone is a 2002 satirical science fiction film written and directed by Andrew Niccol about a digitally created actress who becomes a global sensation.
-
C.
Simone
"Simone" is a song by The Stone Roses, known as the B-side to their single "She Bangs the Drums."
-
D.
Simona
Simona is a feminine given name commonly used in various European and Latin cultures, often associated with the female form of Simon.
-
E.
Simone Tata
Simone Tata is an Indian businesswoman best known for transforming Lakmé into a leading cosmetics brand and playing a key role in the Tata Group’s consumer business expansion.
- 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: Les Simone Triple: [Patrice Robitaille, notableWork, Les Simone]
Generated description
Les Simone is a Quebec television series best known for its comedic and dramatic portrayal of three women navigating friendship, love, and midlife challenges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Les Simone Target entity description: Les Simone is a Quebec television series best known for its comedic and dramatic portrayal of three women navigating friendship, love, and midlife challenges.
-
A.
Simone
Simone is a feminine given name of Hebrew origin meaning "hearkening" or "one who listens," widely used across various cultures.
-
B.
Simone
Simone is a 2002 satirical science fiction film written and directed by Andrew Niccol about a digitally created actress who becomes a global sensation.
-
C.
Simone
"Simone" is a song by The Stone Roses, known as the B-side to their single "She Bangs the Drums."
-
D.
Simona
Simona is a feminine given name commonly used in various European and Latin cultures, often associated with the female form of Simon.
-
E.
Simone Tata
Simone Tata is an Indian businesswoman best known for transforming Lakmé into a leading cosmetics brand and playing a key role in the Tata Group’s consumer business expansion.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ed59bc8190a9ff25493e500ebb |
completed | April 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0816015e4c8190a65c4713ee9823a6 |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a0816c0375c8190b940f3d0d6391b4c |
completed | May 16, 2026, 7:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a081798cb48819084ab456f79b68eb9 |
completed | May 16, 2026, 7:07 a.m. |
Created at: April 11, 2026, 3:37 p.m.