Triple

T878869
Position Surface form Disambiguated ID Type / Status
Subject Jean-Charles Adolphe Alphand E18981 entity
Predicate givenName P17 FINISHED
Object Adolphe
Adolphe is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer known for designing many of Paris’s parks and boulevards.
E133913 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: Adolphe | Statement: [Jean-Charles Adolphe Alphand, givenName, Adolphe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adolphe
Context triple: [Jean-Charles Adolphe Alphand, givenName, Adolphe]
  • A. Gustave
    Gustave is a masculine given name of French origin, famously borne by engineer Gustave Eiffel.
  • B. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • C. Henri
    Henri is a given name most famously associated with the French artist Henri Matisse.
  • D. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • E. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • 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: Adolphe
Triple: [Jean-Charles Adolphe Alphand, givenName, Adolphe]
Generated description
Adolphe is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer known for designing many of Paris’s parks and boulevards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adolphe
Target entity description: Adolphe is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer known for designing many of Paris’s parks and boulevards.
  • A. Gustave
    Gustave is a masculine given name of French origin, famously borne by engineer Gustave Eiffel.
  • B. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • C. Henri
    Henri is a given name most famously associated with the French artist Henri Matisse.
  • D. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • E. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acb1dc20819095b9bb093158b60d completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac660a86d881908ae96a5492c9b9a2 completed March 7, 2026, 5:53 p.m.
NEDg Description generation batch_69ac67e76c3881908643b5b861826610 completed March 7, 2026, 6:01 p.m.
NED2 Entity disambiguation (via description) batch_69ac684ea69c819098beb37929bdb47a completed March 7, 2026, 6:02 p.m.
Created at: March 1, 2026, 7:39 p.m.