Triple

T1105255
Position Surface form Disambiguated ID Type / Status
Subject Panic Room E25473 entity
Predicate character P662 FINISHED
Object Raoul
Raoul is a violent, masked intruder and one of the primary antagonists in the thriller film "Panic Room."
E143826 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: Raoul | Statement: [Panic Room, character, Raoul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raoul
Context triple: [Panic Room, character, Raoul]
  • A. Guillaume
    Guillaume is the French form of the given name William, commonly used in French-speaking countries.
  • B. Raoul de Bragelonne
    Raoul de Bragelonne is a fictional nobleman and soldier in Alexandre Dumas’ d’Artagnan Romances, best known as the devoted son of Athos and the title character of the novel "The Vicomte de Bragelonne."
  • C. Hugues
    Hugues is a French given name, equivalent to the English name Hugh, historically borne by various nobles, clerics, and notable figures in French-speaking regions.
  • D. Gaston de Blondeville
    Gaston de Blondeville is a historical Gothic romance novel by Ann Radcliffe, set in medieval England and blending chivalric adventure with supernatural elements.
  • E. René of Chalon
    René of Chalon was a 16th-century nobleman and military leader who became Prince of Orange and played a significant role in the politics of the Habsburg Netherlands.
  • 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: Raoul
Triple: [Panic Room, character, Raoul]
Generated description
Raoul is a violent, masked intruder and one of the primary antagonists in the thriller film "Panic Room."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Raoul
Target entity description: Raoul is a violent, masked intruder and one of the primary antagonists in the thriller film "Panic Room."
  • A. Guillaume
    Guillaume is the French form of the given name William, commonly used in French-speaking countries.
  • B. Raoul de Bragelonne
    Raoul de Bragelonne is a fictional nobleman and soldier in Alexandre Dumas’ d’Artagnan Romances, best known as the devoted son of Athos and the title character of the novel "The Vicomte de Bragelonne."
  • C. Hugues
    Hugues is a French given name, equivalent to the English name Hugh, historically borne by various nobles, clerics, and notable figures in French-speaking regions.
  • D. Gaston de Blondeville
    Gaston de Blondeville is a historical Gothic romance novel by Ann Radcliffe, set in medieval England and blending chivalric adventure with supernatural elements.
  • E. René of Chalon
    René of Chalon was a 16th-century nobleman and military leader who became Prince of Orange and played a significant role in the politics of the Habsburg Netherlands.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e21f048190bf4b63dd2c7c7641 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93b2283881908dde77abbbf864ae completed March 7, 2026, 9:08 p.m.
NEDg Description generation batch_69ac943de3f0819085dff5ef12f01766 completed March 7, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69ac95c05ab081909db602d7bea73bf4 completed March 7, 2026, 9:16 p.m.
Created at: March 1, 2026, 7:43 p.m.