Triple

T690764
Position Surface form Disambiguated ID Type / Status
Subject Bertram E13385 entity
Predicate hasDiminutive P456 FINISHED
Object Bert
Bert is a common masculine given name, often used as a short form of names like Bertram, Albert, or Herbert.
E17927 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: Bert | Statement: [Bertram, hasDiminutive, Bert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bert
Context triple: [Bertram, hasDiminutive, Bert]
  • A. Bert
    Bert is the given name of Bert Hölldobler, a renowned German behavioral biologist and sociobiologist known for his pioneering research on ants and social insects.
  • B. Buster
    Buster is the nickname of Vivian Burey Marshall, the first wife of U.S. Supreme Court Justice Thurgood Marshall.
  • C. Bernard
    Bernard is a masculine given name of Old French and Germanic origin, historically borne by notable figures such as military leaders and saints.
  • D. Charlie
    Charlie was the third nuclear test in the U.S. Operation Crossroads series, planned as an underwater detonation to study the effects of nuclear weapons on naval vessels.
  • E. Charlie Bubbles
    Charlie Bubbles is a 1967 British comedy-drama film, directed by and starring Albert Finney, noted for its portrayal of a disillusioned writer returning to his Northern England roots.
  • 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: Bert
Triple: [Bertram, hasDiminutive, Bert]
Generated description
Bert is a common masculine given name, often used as a short form of names like Bertram, Albert, or Herbert.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bert
Target entity description: Bert is a common masculine given name, often used as a short form of names like Bertram, Albert, or Herbert.
  • A. Bert chosen
    Bert is the given name of Bert Hölldobler, a renowned German behavioral biologist and sociobiologist known for his pioneering research on ants and social insects.
  • B. Buster
    Buster is the nickname of Vivian Burey Marshall, the first wife of U.S. Supreme Court Justice Thurgood Marshall.
  • C. Bernard
    Bernard is a masculine given name of Old French and Germanic origin, historically borne by notable figures such as military leaders and saints.
  • D. Charlie
    Charlie was the third nuclear test in the U.S. Operation Crossroads series, planned as an underwater detonation to study the effects of nuclear weapons on naval vessels.
  • E. Charlie Bubbles
    Charlie Bubbles is a 1967 British comedy-drama film, directed by and starring Albert Finney, noted for its portrayal of a disillusioned writer returning to his Northern England roots.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0aebde88190a49d421477713103 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a637514c9081909938d0801f071fea completed March 3, 2026, 1:20 a.m.
NEDg Description generation batch_69a63b69c1788190b9bc613d04d7d5b0 completed March 3, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69a63bc5a9808190b881ebd85d3d6ee8 completed March 3, 2026, 1:39 a.m.
Created at: March 1, 2026, 7:36 p.m.