Triple

T22052062
Position Surface form Disambiguated ID Type / Status
Subject The Lost Prince E544908 entity
Predicate screenwriter P2831 FINISHED
Object Bruno Merle
Bruno Merle is a French screenwriter and director known for his work in film and television, often blending drama with imaginative or offbeat storytelling.
E1569384 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: Bruno Merle | Statement: [The Lost Prince, screenwriter, Bruno Merle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno Merle
Context triple: [The Lost Prince, screenwriter, Bruno Merle]
  • A. Bruno Maréchal
    Bruno Maréchal is a French local politician serving as the mayor of the commune of Monchy-Saint-Éloi in northern France.
  • B. Laurent Merle
    Laurent Merle is a French local politician serving as the mayor of the commune of Dolomieu in southeastern France.
  • C. Frédéric Dambier
    Frédéric Dambier is a French former competitive figure skater best known for his success in European and international competitions in the early 2000s.
  • D. Olivier Merle
    Olivier Merle is a French former professional rugby union player known for his powerful play as a lock for the French national team in the 1990s.
  • E. Peter Biziou
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • 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: Bruno Merle
Triple: [The Lost Prince, screenwriter, Bruno Merle]
Generated description
Bruno Merle is a French screenwriter and director known for his work in film and television, often blending drama with imaginative or offbeat storytelling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bruno Merle
Target entity description: Bruno Merle is a French screenwriter and director known for his work in film and television, often blending drama with imaginative or offbeat storytelling.
  • A. Bruno Maréchal
    Bruno Maréchal is a French local politician serving as the mayor of the commune of Monchy-Saint-Éloi in northern France.
  • B. Laurent Merle
    Laurent Merle is a French local politician serving as the mayor of the commune of Dolomieu in southeastern France.
  • C. Frédéric Dambier
    Frédéric Dambier is a French former competitive figure skater best known for his success in European and international competitions in the early 2000s.
  • D. Olivier Merle
    Olivier Merle is a French former professional rugby union player known for his powerful play as a lock for the French national team in the 1990s.
  • E. Peter Biziou
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285513fc8190b691e1f57085956f completed April 28, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0c1591515c8190a452c6270d0a9aef completed May 19, 2026, 7:47 a.m.
NEDg Description generation batch_6a0c17e68aac8190889632ca941b5567 completed May 19, 2026, 7:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0c18722a2c81908dab6d620bdc3afe completed May 19, 2026, 7:59 a.m.
Created at: April 16, 2026, 8:26 p.m.