Triple

T9790259
Position Surface form Disambiguated ID Type / Status
Subject Lockout E237587 entity
Predicate producer P490 FINISHED
Object Marc Libert
Marc Libert is a film producer known for his work on the science fiction action movie "Lockout."
E821875 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: Marc Libert | Statement: [Lockout, producer, Marc Libert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Libert
Context triple: [Lockout, producer, Marc Libert]
  • A. Julien Barbagallo
    Julien Barbagallo is a French drummer and musician best known for performing as the live drummer for the psychedelic music project Tame Impala.
  • B. Arnaud Vaillant
    Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
  • C. Arnaud Decagny
    Arnaud Decagny is a French local politician who serves as the mayor of the northern town of Maubeuge.
  • D. Julien Bertheau
    Julien Bertheau was a French actor known for his work in both classical theatre, particularly with the Comédie-Française, and in notable films by directors such as Luis Buñuel.
  • E. Luc Teyssier
    Luc Teyssier is a charming, roguish French thief who becomes the romantic lead opposite Meg Ryan’s character in the 1995 romantic comedy film "French Kiss."
  • 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: Marc Libert
Triple: [Lockout, producer, Marc Libert]
Generated description
Marc Libert is a film producer known for his work on the science fiction action movie "Lockout."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marc Libert
Target entity description: Marc Libert is a film producer known for his work on the science fiction action movie "Lockout."
  • A. Julien Barbagallo
    Julien Barbagallo is a French drummer and musician best known for performing as the live drummer for the psychedelic music project Tame Impala.
  • B. Arnaud Vaillant
    Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
  • C. Arnaud Decagny
    Arnaud Decagny is a French local politician who serves as the mayor of the northern town of Maubeuge.
  • D. Julien Bertheau
    Julien Bertheau was a French actor known for his work in both classical theatre, particularly with the Comédie-Française, and in notable films by directors such as Luis Buñuel.
  • E. Luc Teyssier
    Luc Teyssier is a charming, roguish French thief who becomes the romantic lead opposite Meg Ryan’s character in the 1995 romantic comedy film "French Kiss."
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda215b3108190a897552e1dc91cc4 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c43141cc81908c45a3f5d5103564 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4b07cec8190a2e6c49efad3a841 completed April 5, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69d1c547a9808190b96face03c4203b0 completed April 5, 2026, 2:13 a.m.
Created at: March 30, 2026, 8:28 p.m.