Triple
T12374270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Grinder |
E295081
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Claire Lacoste
Claire Lacoste is a fictional character from the television comedy series "The Grinder."
|
E1013336
|
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: Claire Lacoste | Statement: [The Grinder, character, Claire Lacoste]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claire Lacoste Context triple: [The Grinder, character, Claire Lacoste]
-
A.
Emmanuelle Vaugier
Emmanuelle Vaugier is a Canadian actress and model known for her roles in film and television, including appearances in projects like "Two and a Half Men," "Smallville," and various genre films.
-
B.
Doriane Bécue
Doriane Bécue is a French politician who serves as the mayor of the city of Tourcoing in northern France.
-
C.
Madeleine LeClerc
Madeleine LeClerc is a character in the film "Quills," depicted as a young laundress at the Charenton asylum who becomes entangled with the Marquis de Sade and his forbidden writings.
-
D.
Nathalie Lorson
Nathalie Lorson is a renowned French master perfumer known for creating numerous successful and influential fragrances for major international brands.
-
E.
Sandrine Gelot
Sandrine Gelot is a French local politician who serves as the mayor of the commune of Longjumeau in the Île-de-France region.
- 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: Claire Lacoste Triple: [The Grinder, character, Claire Lacoste]
Generated description
Claire Lacoste is a fictional character from the television comedy series "The Grinder."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claire Lacoste Target entity description: Claire Lacoste is a fictional character from the television comedy series "The Grinder."
-
A.
Emmanuelle Vaugier
Emmanuelle Vaugier is a Canadian actress and model known for her roles in film and television, including appearances in projects like "Two and a Half Men," "Smallville," and various genre films.
-
B.
Doriane Bécue
Doriane Bécue is a French politician who serves as the mayor of the city of Tourcoing in northern France.
-
C.
Madeleine LeClerc
Madeleine LeClerc is a character in the film "Quills," depicted as a young laundress at the Charenton asylum who becomes entangled with the Marquis de Sade and his forbidden writings.
-
D.
Nathalie Lorson
Nathalie Lorson is a renowned French master perfumer known for creating numerous successful and influential fragrances for major international brands.
-
E.
Sandrine Gelot
Sandrine Gelot is a French local politician who serves as the mayor of the commune of Longjumeau in the Île-de-France region.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa8ca7c8190b3f8e9c2ec23e837 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8bc820c8190b6e54a381621fdc8 |
completed | May 3, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69f6b9dac2c88190850304023f156969 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb03d8d88190930edd0f49fec8aa |
completed | May 3, 2026, 3:03 a.m. |
Created at: April 8, 2026, 9:54 p.m.