Triple

T5624214
Position Surface form Disambiguated ID Type / Status
Subject Lionel Robbins E147680 entity
Predicate givenName P17 FINISHED
Object Lionel
Lionel is a masculine given name of Latin origin, commonly used in English- and French-speaking countries.
E528283 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: [Lionel Robbins, givenName, Lionel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lionel
Context triple: [Lionel Robbins, givenName, 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. Lionel
    Lionel is the given name of Baron Walter Rothschild, a prominent British banker, politician, and zoologist from the famous Rothschild family.
  • C. Leo the Lion
    Leo the Lion is the iconic roaring lion featured in the opening logo of Metro-Goldwyn-Mayer (MGM) films.
  • D. 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.
  • E. Lionel White
    Lionel White was an American crime novelist best known for his hardboiled heist and noir fiction, several of which were adapted into influential films.
  • 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: [Lionel Robbins, givenName, Lionel]
Generated description
Lionel is a masculine given name of Latin origin, commonly used in English- and French-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lionel
Target entity description: Lionel is a masculine given name of Latin origin, commonly used in English- and French-speaking countries.
  • A. Lionel
    Lionel is the given name of Lionel Logue, the Australian speech therapist renowned for helping King George VI overcome his stammer.
  • B. Lionel
    Lionel is the given name of Baron Walter Rothschild, a prominent British banker, politician, and zoologist from the famous Rothschild family.
  • C. Leo the Lion
    Leo the Lion is the iconic roaring lion featured in the opening logo of Metro-Goldwyn-Mayer (MGM) films.
  • D. 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.
  • E. Lionel White
    Lionel White was an American crime novelist best known for his hardboiled heist and noir fiction, several of which were adapted into influential films.
  • 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c022165d8c8190b2a14f1cd0a45ecc completed March 22, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287fcde881908f761b701bf9a4f3 completed March 22, 2026, 5:36 p.m.
NEDg Description generation batch_69c03894b9388190bd534ad107722b83 completed March 22, 2026, 6:44 p.m.
NED2 Entity disambiguation (via description) batch_69c03932eb8c8190a572d4ae3831c9dc completed March 22, 2026, 6:47 p.m.
Created at: March 22, 2026, 3:40 p.m.