Triple

T13769897
Position Surface form Disambiguated ID Type / Status
Subject Paul Hymans E330852 entity
Predicate familyName P18 FINISHED
Object Hymans
Hymans is a Belgian surname most notably associated with Paul Hymans, a prominent statesman and diplomat involved in the founding of the League of Nations.
E1059937 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: Hymans | Statement: [Paul Hymans, familyName, Hymans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hymans
Context triple: [Paul Hymans, familyName, Hymans]
  • A. Hueffer
    Hueffer is the original surname of the English novelist and critic Ford Madox Ford, used before he changed his name during World War I.
  • B. Hampson
    Hampson is a surname most notably associated with American baritone opera singer Thomas Hampson.
  • C. Wyman
    Wyman is a character appearing in Willard Van Orman Quine’s philosophical essay “On What There Is,” used to illustrate issues in ontology and the problem of non-existent objects.
  • D. Hilaire
    Hilaire is a given name associated with the French Impressionist artist Edgar Degas, whose full name was Hilaire-Germain-Edgar Degas.
  • E. Winkleman
    Winkleman is a surname most notably associated with British actress Sophie Winkleman and her extended family, which includes media and entertainment figures.
  • 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: Hymans
Triple: [Paul Hymans, familyName, Hymans]
Generated description
Hymans is a Belgian surname most notably associated with Paul Hymans, a prominent statesman and diplomat involved in the founding of the League of Nations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hymans
Target entity description: Hymans is a Belgian surname most notably associated with Paul Hymans, a prominent statesman and diplomat involved in the founding of the League of Nations.
  • A. Hueffer
    Hueffer is the original surname of the English novelist and critic Ford Madox Ford, used before he changed his name during World War I.
  • B. Hampson
    Hampson is a surname most notably associated with American baritone opera singer Thomas Hampson.
  • C. Wyman
    Wyman is a character appearing in Willard Van Orman Quine’s philosophical essay “On What There Is,” used to illustrate issues in ontology and the problem of non-existent objects.
  • D. Hilaire
    Hilaire is a given name associated with the French Impressionist artist Edgar Degas, whose full name was Hilaire-Germain-Edgar Degas.
  • E. Winkleman
    Winkleman is a surname most notably associated with British actress Sophie Winkleman and her extended family, which includes media and entertainment figures.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0233ecc48190b934f085d2501eb1 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a866e7cc8190a0381f4469193b6e completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a9f5549c81908a1a0b080acc3396 completed May 3, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69f7aafceea881908737a3d7613db2d5 completed May 3, 2026, 8:07 p.m.
Created at: April 9, 2026, 10:10 p.m.