Triple

T11408240
Position Surface form Disambiguated ID Type / Status
Subject Albert E270293 entity
Predicate hasDiminutive P456 FINISHED
Object Bertie E95977 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: Bertie | Statement: [Albert, hasDiminutive, Bertie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bertie
Context triple: [Albert, hasDiminutive, Bertie]
  • A. Bertie chosen
    Bertie is a common English diminutive form of the given name Bertram.
  • B. Bertie
    Bertie is a filmmaker best known as one half of the directing duo Bert & Bertie, who co-directed the feature film "Troop Zero."
  • C. Bertie
    Bertie is the familiar nickname of Albert Edward, the Prince of Wales who later became King Edward VII of the United Kingdom.
  • D. Signor Bertie Stanhope
    Signor Bertie Stanhope is a charming, idle, and somewhat roguish young man from an eccentric Italianized English family in Anthony Trollope’s novel "Barchester Towers."
  • E. Bertie Crewe
    Bertie Crewe was a prominent early 20th-century British theatre architect known for designing and remodeling numerous West End and provincial playhouses.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8014e72748190a01bde2f0105cedb completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b834cee48190ac09c1e1df4c12d0 completed April 20, 2026, 5:23 a.m.
Created at: April 8, 2026, 9:34 p.m.