Triple
T7453848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricky Gervais |
E172070
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gervais
Gervais is the surname of British comedian, actor, writer, and director Ricky Gervais, best known for co-creating and starring in the original UK version of "The Office."
|
E665217
|
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: Gervais | Statement: [Ricky Gervais, familyName, Gervais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gervais Context triple: [Ricky Gervais, familyName, Gervais]
-
A.
Gilles
Gilles is a masculine given name of French origin, commonly used as a variant of the name Gil or Giles.
-
B.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
C.
Hugues
Hugues is a French given name, equivalent to the English name Hugh, historically borne by various nobles, clerics, and notable figures in French-speaking regions.
-
D.
Guillaume
Guillaume is the French form of the given name William, commonly used in French-speaking countries.
-
E.
Firmin
Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
- 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: Gervais Triple: [Ricky Gervais, familyName, Gervais]
Generated description
Gervais is the surname of British comedian, actor, writer, and director Ricky Gervais, best known for co-creating and starring in the original UK version of "The Office."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gervais Target entity description: Gervais is the surname of British comedian, actor, writer, and director Ricky Gervais, best known for co-creating and starring in the original UK version of "The Office."
-
A.
Gilles
Gilles is a masculine given name of French origin, commonly used as a variant of the name Gil or Giles.
-
B.
Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
-
C.
Hugues
Hugues is a French given name, equivalent to the English name Hugh, historically borne by various nobles, clerics, and notable figures in French-speaking regions.
-
D.
Guillaume
Guillaume is the French form of the given name William, commonly used in French-speaking countries.
-
E.
Firmin
Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3ac5c2081908ab03f8bd4586f94 |
completed | March 27, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827bedc408190a9a77f293fb12762 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c8290c62d0819080a1e1820364da88 |
completed | March 28, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82958eddc8190ad1697969241ec39 |
completed | March 28, 2026, 7:17 p.m. |
Created at: March 27, 2026, 3:14 p.m.