Triple
T15870112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Pirès |
E384809
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pirès
Pirès is the surname of Robert Pirès, a renowned French former professional footballer best known for his time at Arsenal and the French national team.
|
E1181496
|
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: Pirès | Statement: [Robert Pirès, familyName, Pirès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pirès Context triple: [Robert Pirès, familyName, Pirès]
-
A.
Pereire
Pereire is a Paris Métro station in the 17th arrondissement, serving as a stop on Line 3 and connecting to nearby RER services.
-
B.
Sarroch
Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
-
C.
Bordoy
Bordoy is one of the northern islands of the Faroe Islands, known for its rugged coastline, small fishing villages, and role as a regional hub in the archipelago.
-
D.
Larroque
Larroque is a small commune in southern France situated along the Aveyron River, known for its scenic rural landscape and historic village character.
-
E.
Sainlez
Sainlez is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
- 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: Pirès Triple: [Robert Pirès, familyName, Pirès]
Generated description
Pirès is the surname of Robert Pirès, a renowned French former professional footballer best known for his time at Arsenal and the French national team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pirès Target entity description: Pirès is the surname of Robert Pirès, a renowned French former professional footballer best known for his time at Arsenal and the French national team.
-
A.
Pereire
Pereire is a Paris Métro station in the 17th arrondissement, serving as a stop on Line 3 and connecting to nearby RER services.
-
B.
Sarroch
Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
-
C.
Bordoy
Bordoy is one of the northern islands of the Faroe Islands, known for its rugged coastline, small fishing villages, and role as a regional hub in the archipelago.
-
D.
Larroque
Larroque is a small commune in southern France situated along the Aveyron River, known for its scenic rural landscape and historic village character.
-
E.
Sainlez
Sainlez is a village in the Walloon region of Belgium, located within the municipality of Vaux-sur-Sûre in the province of Luxembourg.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155f915788190a8efc3b3380cb829 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa94a4d208190805d33da0e433092 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffaacbe94881908d4ee2e53d8dbd76 |
completed | May 9, 2026, 9:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffab2fdd1c81909439f11ff798c168 |
completed | May 9, 2026, 9:46 p.m. |
Created at: April 10, 2026, 4:50 a.m.