Triple

T995469
Position Surface form Disambiguated ID Type / Status
Subject Jules Laforgue E21485 entity
Predicate givenName P17 FINISHED
Object Jules
Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
 E153007 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: Jules | Statement: [Jules Laforgue, givenName, Jules]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jules
Context triple: [Jules Laforgue, givenName, Jules]
  • A. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • B. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • C. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • D. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • E. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • 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: Jules
Triple: [Jules Laforgue, givenName, Jules]
Generated description
Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jules
Target entity description: Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
  • A. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • B. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • C. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • D. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • E. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c75de88190bf7fec7a053f7a90 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf0c16c0819090fc6618f0551c04 completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbfa308148190a27f5433abcb2a18 completed March 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69acc0912bf481909bd27111b4daaa0b completed March 8, 2026, 12:19 a.m.
Created at: March 1, 2026, 7:41 p.m.