Triple
T16213506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creutzwald |
E393524
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Jean-Luc Wozniak
Jean-Luc Wozniak is a French local politician serving as the mayor of the town of Creutzwald in northeastern France.
|
E1200205
|
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: Jean-Luc Wozniak | Statement: [Creutzwald, hasMayor, Jean-Luc Wozniak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Luc Wozniak Context triple: [Creutzwald, hasMayor, Jean-Luc Wozniak]
-
A.
John Wozencraft
John Wozencraft was an influential American electrical engineer and information theorist known for his foundational contributions to coding theory and communication systems.
-
B.
Nicolas Vanier
Nicolas Vanier is a French adventurer, filmmaker, and writer known for his expeditions in cold regions and his nature-focused films and books.
-
C.
Richard Hamlett
Richard Hamlett is an American real estate developer best known for his marriage to actress and singer Debbie Reynolds.
-
D.
Gary Dourdan
Gary Dourdan is an American actor best known for playing Warrick Brown on the television series CSI: Crime Scene Investigation.
-
E.
Benoit Jacob
Benoit Jacob is an automotive designer best known for leading the design of BMW’s innovative electric i-series models, including the BMW i3.
- 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: Jean-Luc Wozniak Triple: [Creutzwald, hasMayor, Jean-Luc Wozniak]
Generated description
Jean-Luc Wozniak is a French local politician serving as the mayor of the town of Creutzwald in northeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean-Luc Wozniak Target entity description: Jean-Luc Wozniak is a French local politician serving as the mayor of the town of Creutzwald in northeastern France.
-
A.
John Wozencraft
John Wozencraft was an influential American electrical engineer and information theorist known for his foundational contributions to coding theory and communication systems.
-
B.
Nicolas Vanier
Nicolas Vanier is a French adventurer, filmmaker, and writer known for his expeditions in cold regions and his nature-focused films and books.
-
C.
Richard Hamlett
Richard Hamlett is an American real estate developer best known for his marriage to actress and singer Debbie Reynolds.
-
D.
Gary Dourdan
Gary Dourdan is an American actor best known for playing Warrick Brown on the television series CSI: Crime Scene Investigation.
-
E.
Benoit Jacob
Benoit Jacob is an automotive designer best known for leading the design of BMW’s innovative electric i-series models, including the BMW i3.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f2c1288190bfaed49c364bfa22 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000794e6c881909c4521e4dd031971 |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a00084d8e308190bd90811392586753 |
completed | May 10, 2026, 4:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0008c7430c81908b9620369c609ad8 |
completed | May 10, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:03 a.m.