Triple

T190922
Position Surface form Disambiguated ID Type / Status
Subject Omar Sharif E3718 entity
Predicate notableWork P4 FINISHED
Object Monsieur Ibrahim
Monsieur Ibrahim is a 2003 French drama film in which Omar Sharif delivers an acclaimed performance as a wise Turkish shopkeeper who befriends a lonely Parisian boy.
 E29833 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: Monsieur Ibrahim | Statement: [Omar Sharif, notableWork, Monsieur Ibrahim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monsieur Ibrahim
Context triple: [Omar Sharif, notableWork, Monsieur Ibrahim]
  • A. Ali Hakim
    Ali Hakim is a comic Persian peddler and charming rogue suitor in the classic Rodgers and Hammerstein musical "Oklahoma!".
  • B. Hadji Murad
    Hadji Murad is a novella by Leo Tolstoy that portrays the tragic fate of a Chechen rebel leader caught between the Russian Empire and his own people during the Caucasian War.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. Jean-Pierre
    Jean-Pierre is a French given name commonly used as a masculine compound first name.
  • 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: Monsieur Ibrahim
Triple: [Omar Sharif, notableWork, Monsieur Ibrahim]
Generated description
Monsieur Ibrahim is a 2003 French drama film in which Omar Sharif delivers an acclaimed performance as a wise Turkish shopkeeper who befriends a lonely Parisian boy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monsieur Ibrahim
Target entity description: Monsieur Ibrahim is a 2003 French drama film in which Omar Sharif delivers an acclaimed performance as a wise Turkish shopkeeper who befriends a lonely Parisian boy.
  • A. Ali Hakim
    Ali Hakim is a comic Persian peddler and charming rogue suitor in the classic Rodgers and Hammerstein musical "Oklahoma!".
  • B. Hadji Murad
    Hadji Murad is a novella by Leo Tolstoy that portrays the tragic fate of a Chechen rebel leader caught between the Russian Empire and his own people during the Caucasian War.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. Jean-Pierre
    Jean-Pierre is a French given name commonly used as a masculine compound first name.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a25964fc5c8190bd3e37daaf695ecf completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a362b97500819088c4f547f6ee38d4 completed Feb. 28, 2026, 9:48 p.m.
NEDg Description generation batch_69a3632a55ac8190b099ae109b0c578c completed Feb. 28, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_69a363911900819094af203ba2ed0e8a completed Feb. 28, 2026, 9:52 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.