Triple

T2426581
Position Surface form Disambiguated ID Type / Status
Subject Leonard E53541 entity
Predicate hasCognate P2525 FINISHED
Object Lionel
Lionel is a masculine given name, often considered a diminutive or variant of "Leonard," used in various European languages.
 E48007 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: Lionel | Statement: [Leonard, hasCognate, Lionel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lionel
Context triple: [Leonard, hasCognate, Lionel]
  • A. Lionel
    Lionel is the given name of Lionel Logue, the Australian speech therapist renowned for helping King George VI overcome his stammer.
  • B. Leo the Lion
    Leo the Lion is the iconic roaring lion featured in the opening logo of Metro-Goldwyn-Mayer (MGM) films.
  • C. Percy the Lion
    Percy the Lion is the official lion mascot of Newcastle University, symbolizing the institution’s spirit and identity at events and activities.
  • D. Nigel
    Nigel is a masculine given name of English origin, historically derived from the Latin name Nigellus and commonly used in the UK and other English-speaking countries.
  • E. Milner
    Milner is an English surname borne by various notable figures in politics, academia, and the arts.
  • 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: Lionel
Triple: [Leonard, hasCognate, Lionel]
Generated description
Lionel is a masculine given name, often considered a diminutive or variant of "Leonard," used in various European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lionel
Target entity description: Lionel is a masculine given name, often considered a diminutive or variant of "Leonard," used in various European languages.
  • A. Lionel chosen
    Lionel is the given name of Lionel Logue, the Australian speech therapist renowned for helping King George VI overcome his stammer.
  • B. Leo the Lion
    Leo the Lion is the iconic roaring lion featured in the opening logo of Metro-Goldwyn-Mayer (MGM) films.
  • C. Percy the Lion
    Percy the Lion is the official lion mascot of Newcastle University, symbolizing the institution’s spirit and identity at events and activities.
  • D. Nigel
    Nigel is a masculine given name of English origin, historically derived from the Latin name Nigellus and commonly used in the UK and other English-speaking countries.
  • E. Milner
    Milner is an English surname borne by various notable figures in politics, academia, and the arts.
  • F. None of above.

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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99b95548190b77d36de9adfe3bb completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf637be4819096874a24e87f84ab completed March 9, 2026, 12:38 p.m.
NEDg Description generation batch_69aec7698e9881909c75137cb5cf2a0c completed March 9, 2026, 1:13 p.m.
NED2 Entity disambiguation (via description) batch_69aec87df0648190b8099b4eaa3d9b22 completed March 9, 2026, 1:17 p.m.
Created at: March 6, 2026, 9:42 p.m.