Triple

T292915
Position Surface form Disambiguated ID Type / Status
Subject Hugo van Lawick E6032 entity
Predicate givenName P17 FINISHED
Object Hugo
Hugo is a masculine given name of Germanic origin, commonly used in various European and Spanish-speaking countries.
E37442 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: Hugo | Statement: [Hugo van Lawick, givenName, Hugo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugo
Context triple: [Hugo van Lawick, givenName, Hugo]
  • A. The Light
    The Light is a notable work by the rapper Common, showcasing his introspective lyricism and soulful, jazz-influenced hip-hop style.
  • B. Mill
    Mill is a prominent surname most famously associated with John Stuart Mill, the influential 19th-century British philosopher and political economist.
  • C. La voix
    "La voix" is an operatic pop song performed by Swedish mezzo-soprano Malena Ernman as Sweden’s entry in the Eurovision Song Contest 2009.
  • D. La Lecture
    La Lecture is an early 20th-century painting by Pablo Picasso that depicts a contemplative female figure and reflects his evolving style during his transition from Cubism toward a more classical, figurative approach.
  • E. The Twelve
    The Twelve is a collection of twelve shorter prophetic books in the Hebrew Bible, often treated as a single unified work within the Minor Prophets.
  • 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: Hugo
Triple: [Hugo van Lawick, givenName, Hugo]
Generated description
Hugo is a masculine given name of Germanic origin, commonly used in various European and Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hugo
Target entity description: Hugo is a masculine given name of Germanic origin, commonly used in various European and Spanish-speaking countries.
  • A. The Light
    The Light is a notable work by the rapper Common, showcasing his introspective lyricism and soulful, jazz-influenced hip-hop style.
  • B. Mill
    Mill is a prominent surname most famously associated with John Stuart Mill, the influential 19th-century British philosopher and political economist.
  • C. La voix
    "La voix" is an operatic pop song performed by Swedish mezzo-soprano Malena Ernman as Sweden’s entry in the Eurovision Song Contest 2009.
  • D. La Lecture
    La Lecture is an early 20th-century painting by Pablo Picasso that depicts a contemplative female figure and reflects his evolving style during his transition from Cubism toward a more classical, figurative approach.
  • E. The Twelve
    The Twelve is a collection of twelve shorter prophetic books in the Hebrew Bible, often treated as a single unified work within the Minor Prophets.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e976f32081908042485c4530e1e2 completed Feb. 28, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3a33d3f6c8190bb97e903e6e7283f completed March 1, 2026, 2:23 a.m.
NEDg Description generation batch_69a3a3b5a04c819088438f6ff4774fd2 completed March 1, 2026, 2:25 a.m.
NED2 Entity disambiguation (via description) batch_69a3a416d6048190912228f971959734 completed March 1, 2026, 2:27 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.