Triple

T1497928
Position Surface form Disambiguated ID Type / Status
Subject Jean-Jacques Annaud E29728 entity
Predicate notableWork P4 FINISHED
Object The Bear
The Bear is a 1988 French adventure drama film directed by Jean-Jacques Annaud that follows the journey of an orphaned bear cub in the wild.
 E171621 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: The Bear | Statement: [Jean-Jacques Annaud, notableWork, The Bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Bear
Context triple: [Jean-Jacques Annaud, notableWork, The Bear]
  • A. Le Blaireau
    Le Blaireau is the famous nickname of Bernard Hinault, the legendary French cyclist and multiple Tour de France winner.
  • B. The Nine Bears
    The Nine Bears is a crime novel by British writer Edgar Wallace, featuring one of his characteristic fast-paced mystery plots involving high-stakes intrigue and investigation.
  • C. The Moose
    "The Moose" is the famous nickname of Mark Messier, the Hall of Fame NHL forward renowned for his leadership, physical play, and multiple Stanley Cup championships.
  • D. The Fox
    The Fox is a film featuring Sydney Chaplin, the son of legendary comedian and filmmaker Charlie Chaplin.
  • E. The Wild
    The Wild is a themed area of the Saint Louis Zoo that immerses visitors in habitats featuring animals from rugged, remote, and often colder regions of the world.
  • 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: The Bear
Triple: [Jean-Jacques Annaud, notableWork, The Bear]
Generated description
The Bear is a 1988 French adventure drama film directed by Jean-Jacques Annaud that follows the journey of an orphaned bear cub in the wild.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Bear
Target entity description: The Bear is a 1988 French adventure drama film directed by Jean-Jacques Annaud that follows the journey of an orphaned bear cub in the wild.
  • A. Le Blaireau
    Le Blaireau is the famous nickname of Bernard Hinault, the legendary French cyclist and multiple Tour de France winner.
  • B. The Nine Bears
    The Nine Bears is a crime novel by British writer Edgar Wallace, featuring one of his characteristic fast-paced mystery plots involving high-stakes intrigue and investigation.
  • C. The Moose
    "The Moose" is the famous nickname of Mark Messier, the Hall of Fame NHL forward renowned for his leadership, physical play, and multiple Stanley Cup championships.
  • D. The Fox
    The Fox is a film featuring Sydney Chaplin, the son of legendary comedian and filmmaker Charlie Chaplin.
  • E. The Wild
    The Wild is a themed area of the Saint Louis Zoo that immerses visitors in habitats featuring animals from rugged, remote, and often colder regions of the world.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6ef5ce88190a6b520525a6d42a3 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1caf8b288190b428cf903db2c107 completed March 8, 2026, 6:52 a.m.
NEDg Description generation batch_69ad1e3e8fd4819098de7b04e0fad4dc completed March 8, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69ad1eef24c88190a232d40aa4d2235b completed March 8, 2026, 7:02 a.m.
Created at: March 1, 2026, 8:12 p.m.