Triple

T14113510
Position Surface form Disambiguated ID Type / Status
Subject Leiden University Centre for the Arts in Society E339703 entity
Predicate abbreviation P43 FINISHED
Object LUCAS
LUCAS is a research institute at Leiden University focused on the study of arts, culture, history, and society.
 E1079614 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: LUCAS | Statement: [Leiden University Centre for the Arts in Society, abbreviation, LUCAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LUCAS
Context triple: [Leiden University Centre for the Arts in Society, abbreviation, LUCAS]
  • A. Lucastes
    Lucastes is a residential neighbourhood within the town of Haywards Heath in West Sussex, England.
  • B. Lucas
    Lucas is a 1986 coming-of-age drama film best known for featuring one of Winona Ryder’s earliest prominent screen roles.
  • C. Lucas
    Lucas is a place situated east of Allen, likely a town or city in the same general region.
  • D. Lucas
    Lucas is the surname of George Lucas, the influential American filmmaker best known as the creator of the Star Wars and Indiana Jones franchises.
  • E. Lucas
    Lucas is the Latin form of the name Luke, traditionally associated with St. Luke the Evangelist in Christian tradition.
  • 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: LUCAS
Triple: [Leiden University Centre for the Arts in Society, abbreviation, LUCAS]
Generated description
LUCAS is a research institute at Leiden University focused on the study of arts, culture, history, and society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LUCAS
Target entity description: LUCAS is a research institute at Leiden University focused on the study of arts, culture, history, and society.
  • A. Lucastes
    Lucastes is a residential neighbourhood within the town of Haywards Heath in West Sussex, England.
  • B. Lucas
    Lucas is a 1986 coming-of-age drama film best known for featuring one of Winona Ryder’s earliest prominent screen roles.
  • C. Lucas
    Lucas is a place situated east of Allen, likely a town or city in the same general region.
  • D. Lucas
    Lucas is the surname of George Lucas, the influential American filmmaker best known as the creator of the Star Wars and Indiana Jones franchises.
  • E. Lucas
    Lucas is the Latin form of the name Luke, traditionally associated with St. Luke the Evangelist in Christian tradition.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600f992c81908133813f2894dcca completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b881388190a5bcdd87fd10c516 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd2d99c4c8190baf15d470ead7b1c completed May 7, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3853e848190a210d1c8c08bd6cc completed May 7, 2026, 6:01 p.m.
Created at: April 9, 2026, 10:22 p.m.