Triple

T11035007
Position Surface form Disambiguated ID Type / Status
Subject Thomas Lister, 4th Baron Ribblesdale E260858 entity
Predicate familyName P18 FINISHED
Object Lister E281205 NE FINISHED

How this triple was built (2 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: Lister | Statement: [Thomas Lister, 4th Baron Ribblesdale, familyName, Lister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lister
Context triple: [Thomas Lister, 4th Baron Ribblesdale, familyName, Lister]
  • A. Lister chosen
    Lister is a surname most famously associated with Joseph Lister, the pioneering British surgeon who introduced antiseptic techniques to modern medicine.
  • B. List
    List is a German surname most notably borne by Friedrich List, a 19th-century economist known for his advocacy of national economic development and protectionism.
  • C. Listahanan
    Listahanan is the Philippine government’s national household targeting system used to identify and prioritize poor and vulnerable families for social protection programs.
  • D. LisaList
    LisaList is a list management and data structure utility component of the Lisa OS environment, used for organizing and manipulating collections of items within the system.
  • E. litas
    The litas was the national currency of Lithuania before the adoption of the euro.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e839e88190957c2eabf260c203 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9b70074819084c725c5babf2fb7 completed April 18, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:25 p.m.