Triple

T16298217
Position Surface form Disambiguated ID Type / Status
Subject Saint-Mard E395706 entity
Predicate hasMayor P185 FINISHED
Object Daniel Dometz
Daniel Dometz is a French local politician serving as the mayor of the commune of Saint-Mard.
 E1208348 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: Daniel Dometz | Statement: [Saint-Mard, hasMayor, Daniel Dometz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daniel Dometz
Context triple: [Saint-Mard, hasMayor, Daniel Dometz]
  • A. David Burtka
    David Burtka is an American actor and professional chef known for his work on stage and screen and for his long-term relationship and marriage to Neil Patrick Harris.
  • B. John Kundla
    John Kundla was a Hall of Fame American basketball coach best known for leading the Minneapolis Lakers to multiple early NBA championships.
  • C. Philip Hurlic
    Philip Hurlic was an American child actor of the 1930s and 1940s who appeared in numerous films, often in uncredited but memorable supporting roles.
  • D. Martin Kosleck
    Martin Kosleck was a German-American character actor best known for playing suave villains and Nazi antagonists in Hollywood films of the 1930s and 1940s.
  • E. David Slivka
    David Slivka was an American sculptor and painter known for his abstract, expressionist works and contributions to mid-20th-century modern art.
  • 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: Daniel Dometz
Triple: [Saint-Mard, hasMayor, Daniel Dometz]
Generated description
Daniel Dometz is a French local politician serving as the mayor of the commune of Saint-Mard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daniel Dometz
Target entity description: Daniel Dometz is a French local politician serving as the mayor of the commune of Saint-Mard.
  • A. David Burtka
    David Burtka is an American actor and professional chef known for his work on stage and screen and for his long-term relationship and marriage to Neil Patrick Harris.
  • B. John Kundla
    John Kundla was a Hall of Fame American basketball coach best known for leading the Minneapolis Lakers to multiple early NBA championships.
  • C. Philip Hurlic
    Philip Hurlic was an American child actor of the 1930s and 1940s who appeared in numerous films, often in uncredited but memorable supporting roles.
  • D. Martin Kosleck
    Martin Kosleck was a German-American character actor best known for playing suave villains and Nazi antagonists in Hollywood films of the 1930s and 1940s.
  • E. David Slivka
    David Slivka was an American sculptor and painter known for his abstract, expressionist works and contributions to mid-20th-century modern art.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2f486c8190b73c15f59335cde2 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da268b881908f17980c48d44419 completed May 10, 2026, 7:02 a.m.
NEDg Description generation batch_6a002fad37f481908a9239220be961fb completed May 10, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_6a003051dc48819092a319a3be2e4886 completed May 10, 2026, 7:14 a.m.
Created at: April 10, 2026, 5:06 a.m.