Triple

T15272233
Position Surface form Disambiguated ID Type / Status
Subject Eye for Eye (1918 film) E365047 entity
Predicate hasFilmActor P74071 FINISHED
Object Louis Dumar
Louis Dumar was a silent-era film actor active in the 1910s.
E1173611 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: Louis Dumar | Statement: [Eye for Eye (1918 film), hasFilmActor, Louis Dumar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Dumar
Context triple: [Eye for Eye (1918 film), hasFilmActor, Louis Dumar]
  • A. René Donnio
    René Donnio was an actor known for appearing in early 20th-century French cinema, including the 1935 film "Princesse Tam-Tam."
  • B. Guy Billout
    Guy Billout is a French illustrator and graphic artist renowned for his surreal, meticulously detailed illustrations that often feature ironic or thought-provoking twists.
  • C. Jules Bourard
    Jules Bourard was a French architect best known for designing the iconic Notre-Dame Cathedral Basilica in Saigon (Ho Chi Minh City), Vietnam.
  • D. Denis Héroux
    Denis Héroux was a Canadian film producer and director known for his work on internationally acclaimed films, including the prehistoric adventure drama "Quest for Fire."
  • E. Paul Brousse
    Paul Brousse was a French socialist leader and physician who became a prominent figure in the late 19th-century workers’ movement and an influential theorist of reformist socialism.
  • 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: Louis Dumar
Triple: [Eye for Eye (1918 film), hasFilmActor, Louis Dumar]
Generated description
Louis Dumar was a silent-era film actor active in the 1910s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Louis Dumar
Target entity description: Louis Dumar was a silent-era film actor active in the 1910s.
  • A. René Donnio
    René Donnio was an actor known for appearing in early 20th-century French cinema, including the 1935 film "Princesse Tam-Tam."
  • B. Guy Billout
    Guy Billout is a French illustrator and graphic artist renowned for his surreal, meticulously detailed illustrations that often feature ironic or thought-provoking twists.
  • C. Jules Bourard
    Jules Bourard was a French architect best known for designing the iconic Notre-Dame Cathedral Basilica in Saigon (Ho Chi Minh City), Vietnam.
  • D. Denis Héroux
    Denis Héroux was a Canadian film producer and director known for his work on internationally acclaimed films, including the prehistoric adventure drama "Quest for Fire."
  • E. Paul Brousse
    Paul Brousse was a French socialist leader and physician who became a prominent figure in the late 19th-century workers’ movement and an influential theorist of reformist socialism.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00950a9988190b67dfbc73b8bdbbc completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e1b698819098930596327340d7 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff842a25e48190b4cdb147860b4fe2 completed May 9, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69ff8477b94081909814d0672dd7052f completed May 9, 2026, 7:01 p.m.
Created at: April 10, 2026, 3:14 a.m.