Triple

T2983140
Position Surface form Disambiguated ID Type / Status
Subject Jean-Pierre Marielle E80557 entity
Predicate notableWork P4 FINISHED
Object Max et Jérémie
Max et Jérémie is a French crime drama film featuring Jean-Pierre Marielle in a prominent role.
E317127 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: Max et Jérémie | Statement: [Jean-Pierre Marielle, notableWork, Max et Jérémie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max et Jérémie
Context triple: [Jean-Pierre Marielle, notableWork, Max et Jérémie]
  • A. Jérôme
    Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
  • B. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • C. Remi
    The Remi were a Belgic tribe of northeastern Gaul known for allying with Julius Caesar during the Gallic Wars.
  • D. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • E. Baptiste
    Baptiste is a British crime drama television series centered on the character of detective Julien Baptiste, a spin-off from the series "The Missing."
  • 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: Max et Jérémie
Triple: [Jean-Pierre Marielle, notableWork, Max et Jérémie]
Generated description
Max et Jérémie is a French crime drama film featuring Jean-Pierre Marielle in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Max et Jérémie
Target entity description: Max et Jérémie is a French crime drama film featuring Jean-Pierre Marielle in a prominent role.
  • A. Jérôme
    Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
  • B. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • C. Remi
    The Remi were a Belgic tribe of northeastern Gaul known for allying with Julius Caesar during the Gallic Wars.
  • D. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • E. Baptiste
    Baptiste is a British crime drama television series centered on the character of detective Julien Baptiste, a spin-off from the series "The Missing."
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99a1ed44819085ae6d39943db1d9 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108f5e5c88190b9dd0a67cb159854 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10b3967ac81908390d684f2fb23b2 completed March 11, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_69b10f312ec88190b632639acbd024dc completed March 11, 2026, 6:44 a.m.
Created at: March 8, 2026, 2:58 p.m.