Triple

T3053774
Position Surface form Disambiguated ID Type / Status
Subject Rachida Brakni E60431 entity
Predicate notableWork P4 FINISHED
Object L’Assaut
L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
 E321856 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: L’Assaut | Statement: [Rachida Brakni, notableWork, L’Assaut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: L’Assaut
Context triple: [Rachida Brakni, notableWork, L’Assaut]
  • A. The Siege
    The Siege is a 1998 American political thriller film about martial law in New York City following a series of terrorist attacks, starring Denzel Washington, Annette Bening, and Bruce Willis.
  • B. The Spearhead
    The Spearhead is the nickname of the U.S. 5th Marine Division, a World War II Marine Corps unit renowned for its pivotal role in the Battle of Iwo Jima.
  • C. The Outpost
    The Outpost is a 2020 war drama film depicting the Battle of Kamdesh in Afghanistan, known for its intense combat realism and an ensemble cast including Scott Eastwood and Orlando Bloom.
  • D. Veille d’armes
    Veille d’armes is a French stage play best known today as the work that earned actress Annabella significant critical acclaim and awards.
  • E. Bucksturm
    Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
  • 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: L’Assaut
Triple: [Rachida Brakni, notableWork, L’Assaut]
Generated description
L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: L’Assaut
Target entity description: L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
  • A. The Siege
    The Siege is a 1998 American political thriller film about martial law in New York City following a series of terrorist attacks, starring Denzel Washington, Annette Bening, and Bruce Willis.
  • B. The Spearhead
    The Spearhead is the nickname of the U.S. 5th Marine Division, a World War II Marine Corps unit renowned for its pivotal role in the Battle of Iwo Jima.
  • C. The Outpost
    The Outpost is a 2020 war drama film depicting the Battle of Kamdesh in Afghanistan, known for its intense combat realism and an ensemble cast including Scott Eastwood and Orlando Bloom.
  • D. Veille d’armes
    Veille d’armes is a French stage play best known today as the work that earned actress Annabella significant critical acclaim and awards.
  • E. Bucksturm
    Bucksturm is a historic medieval tower in Osnabrück, Germany, known for its former use as a city fortification and prison.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf51b5081908ce355a76cfa9e3c completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef00630c8190a3b5b2854350ecb9 completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1efa8c11081908661b33e465e11bc completed March 11, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69b1f062abf48190ab891463c5b33622 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:01 p.m.