Triple

T15791527
Position Surface form Disambiguated ID Type / Status
Subject Hippolyte Taine E382871 entity
Predicate influenced P9 FINISHED
Object Gustave Lanson
Gustave Lanson was a French literary historian and critic known for pioneering modern methods of literary scholarship and for his influential histories of French literature.
E1177561 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: Gustave Lanson | Statement: [Hippolyte Taine, influenced, Gustave Lanson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gustave Lanson
Context triple: [Hippolyte Taine, influenced, Gustave Lanson]
  • A. Henri Marchand
    Henri Marchand was an actor known for appearing in the French film "Fanfare of Love."
  • B. Ludovic Magnin
    Ludovic Magnin is a retired Swiss footballer and current coach, best known for his time as a left-back with clubs like Werder Bremen and the Swiss national team.
  • C. Gustave Colin
    Gustave Colin was a 19th-century French painter associated with early Impressionism, known for his landscapes and genre scenes.
  • D. Auguste‑Henri Lemaire
    Auguste‑Henri Lemaire was a 19th‑century French sculptor known for his work on prominent Parisian monuments.
  • E. Alphonse Durand
    Alphonse Durand was a 19th-century French architect known for his work on religious and public buildings.
  • 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: Gustave Lanson
Triple: [Hippolyte Taine, influenced, Gustave Lanson]
Generated description
Gustave Lanson was a French literary historian and critic known for pioneering modern methods of literary scholarship and for his influential histories of French literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gustave Lanson
Target entity description: Gustave Lanson was a French literary historian and critic known for pioneering modern methods of literary scholarship and for his influential histories of French literature.
  • A. Henri Marchand
    Henri Marchand was an actor known for appearing in the French film "Fanfare of Love."
  • B. Ludovic Magnin
    Ludovic Magnin is a retired Swiss footballer and current coach, best known for his time as a left-back with clubs like Werder Bremen and the Swiss national team.
  • C. Gustave Colin
    Gustave Colin was a 19th-century French painter associated with early Impressionism, known for his landscapes and genre scenes.
  • D. Auguste‑Henri Lemaire
    Auguste‑Henri Lemaire was a 19th‑century French sculptor known for his work on prominent Parisian monuments.
  • E. Alphonse Durand
    Alphonse Durand was a 19th-century French architect known for his work on religious and public buildings.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d9623081908496cdfdf86a078a completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90ab23048190a6d976c9a3143647 completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff93c259e481908d419c101512c140 completed May 9, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff9458a1388190bfb2b1ecbbf5ebdd completed May 9, 2026, 8:08 p.m.
Created at: April 10, 2026, 4:48 a.m.