Triple

T17977421
Position Surface form Disambiguated ID Type / Status
Subject Will Salas E449511 entity
Predicate enemy P4567 FINISHED
Object Philippe Weis
Philippe Weis is a powerful and wealthy antagonist character from the science fiction film "In Time."
E1315379 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: Philippe Weis | Statement: [Will Salas, enemy, Philippe Weis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe Weis
Context triple: [Will Salas, enemy, Philippe Weis]
  • A. Philippe Kirsch
    Philippe Kirsch is a Canadian jurist and diplomat who served as the inaugural president of the International Criminal Court and played a key role in its founding.
  • B. Philippe Maystadt
    Philippe Maystadt was a Belgian politician and economist who served as Belgium’s Minister of Finance and later as president of the European Investment Bank.
  • C. Ludovic Rohart
    Ludovic Rohart is a French local politician serving as the mayor of the northern commune of Orchies.
  • D. Frédéric Boissonnas
    Frédéric Boissonnas was a pioneering Swiss photographer renowned for his early 20th-century landscape and travel photography, particularly his influential work documenting Greece and its mountains.
  • E. Jean-Philippe Lauer
    Jean-Philippe Lauer was a French archaeologist best known for his decades-long work restoring and studying the Step Pyramid complex of Djoser at Saqqara in Egypt.
  • 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: Philippe Weis
Triple: [Will Salas, enemy, Philippe Weis]
Generated description
Philippe Weis is a powerful and wealthy antagonist character from the science fiction film "In Time."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Philippe Weis
Target entity description: Philippe Weis is a powerful and wealthy antagonist character from the science fiction film "In Time."
  • A. Philippe Kirsch
    Philippe Kirsch is a Canadian jurist and diplomat who served as the inaugural president of the International Criminal Court and played a key role in its founding.
  • B. Philippe Maystadt
    Philippe Maystadt was a Belgian politician and economist who served as Belgium’s Minister of Finance and later as president of the European Investment Bank.
  • C. Ludovic Rohart
    Ludovic Rohart is a French local politician serving as the mayor of the northern commune of Orchies.
  • D. Frédéric Boissonnas
    Frédéric Boissonnas was a pioneering Swiss photographer renowned for his early 20th-century landscape and travel photography, particularly his influential work documenting Greece and its mountains.
  • E. Jean-Philippe Lauer
    Jean-Philippe Lauer was a French archaeologist best known for his decades-long work restoring and studying the Step Pyramid complex of Djoser at Saqqara in Egypt.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b200e9108190bcdde5ba7938ba94 completed April 19, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3de8fb48190ae12f8587fa30081 completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b4a9648881908924fa06a74c52ca completed May 12, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a03b597ba408190a4e34a2fca922c84 completed May 12, 2026, 11:19 p.m.
Created at: April 10, 2026, 10:22 a.m.