Triple

T545096
Position Surface form Disambiguated ID Type / Status
Subject Émile Zola E12715 entity
Predicate givenName P17 FINISHED
Object Émile
Émile is a French given name most famously borne by the influential 19th-century novelist and social critic Émile Zola.
 E68781 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: Émile | Statement: [Émile Zola, givenName, Émile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Émile
Context triple: [Émile Zola, givenName, Émile]
  • A. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • B. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • C. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • 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: Émile
Triple: [Émile Zola, givenName, Émile]
Generated description
Émile is a French given name most famously borne by the influential 19th-century novelist and social critic Émile Zola.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Émile
Target entity description: Émile is a French given name most famously borne by the influential 19th-century novelist and social critic Émile Zola.
  • A. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • B. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • C. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • D. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • E. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498dfec5c81908b76d723b30dc2f0 completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e02e0c1c81908fcb5356dc2b8f97 completed March 2, 2026, 12:56 a.m.
NEDg Description generation batch_69a4e124306c8190bce165e684507553 completed March 2, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69a4e1e73b0c8190b4f050f76f8e58de completed March 2, 2026, 1:03 a.m.
Created at: March 1, 2026, 7:32 p.m.