Triple

T3859843
Position Surface form Disambiguated ID Type / Status
Subject The Dogs of War E90107 entity
Predicate character P662 FINISHED
Object Michel
Michel is a fictional character appearing in Frederick Forsyth’s political thriller novel "The Dogs of War."
 E427344 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: Michel | Statement: [The Dogs of War, character, Michel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michel
Context triple: [The Dogs of War, character, Michel]
  • A. Michel
    Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • B. Michel
    Michel is a French given name commonly used for males, equivalent to "Michael" in English.
  • C. Jean-Michel
    Jean-Michel is the given name of the influential American artist Jean-Michel Basquiat, a leading figure in 1980s neo-expressionist painting.
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • 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: Michel
Triple: [The Dogs of War, character, Michel]
Generated description
Michel is a fictional character appearing in Frederick Forsyth’s political thriller novel "The Dogs of War."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michel
Target entity description: Michel is a fictional character appearing in Frederick Forsyth’s political thriller novel "The Dogs of War."
  • A. Michel
    Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • B. Michel
    Michel is a French given name commonly used for males, equivalent to "Michael" in English.
  • C. Jean-Michel
    Jean-Michel is the given name of the influential American artist Jean-Michel Basquiat, a leading figure in 1980s neo-expressionist painting.
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1ff39c8190b83a88abd840a0e3 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b74b0cd08190bebb483a72d0b59a completed March 14, 2026, 7:30 p.m.
NEDg Description generation batch_69b5b83759c08190b080565bb1ac8bb4 completed March 14, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5b8be90c88190a4852c625e326f6b completed March 14, 2026, 7:36 p.m.
Created at: March 9, 2026, 3:19 p.m.