Triple

T9836723
Position Surface form Disambiguated ID Type / Status
Subject Morocco (1930 film) E239119 entity
Predicate character P662 FINISHED
Object La Bessiere
La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
 E824705 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: La Bessiere | Statement: [Morocco (1930 film), character, La Bessiere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Bessiere
Context triple: [Morocco (1930 film), character, La Bessiere]
  • A. La Bérarde
    La Bérarde is a small alpine hamlet in the French Alps, known as a base for mountaineering and hiking in the Écrins massif.
  • B. Le Bémont
    Le Bémont is a small municipality in the Jura canton of Switzerland, situated on the Franches-Montagnes plateau and known for its rural, pastoral landscape.
  • C. La Basoche
    La Basoche is an opéra-comique by André Messager, first performed in 1890 and known for its lively score and humorous depiction of medieval Parisian law clerks.
  • D. Le Barcarès
    Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
  • E. La Sablonière
    La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
  • 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: La Bessiere
Triple: [Morocco (1930 film), character, La Bessiere]
Generated description
La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Bessiere
Target entity description: La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
  • A. La Bérarde
    La Bérarde is a small alpine hamlet in the French Alps, known as a base for mountaineering and hiking in the Écrins massif.
  • B. Le Bémont
    Le Bémont is a small municipality in the Jura canton of Switzerland, situated on the Franches-Montagnes plateau and known for its rural, pastoral landscape.
  • C. La Basoche
    La Basoche is an opéra-comique by André Messager, first performed in 1890 and known for its lively score and humorous depiction of medieval Parisian law clerks.
  • D. Le Barcarès
    Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
  • E. La Sablonière
    La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb33b07688190b78a70cf535c3efc completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ccb28c8190a580767a57474557 completed April 5, 2026, 3:23 a.m.
NEDg Description generation batch_69d1d66e91c881909eae9d539f47bd99 completed April 5, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69d1d6dc0bd8819082a5ad417ca87a76 completed April 5, 2026, 3:28 a.m.
Created at: March 30, 2026, 8:33 p.m.