Triple

T760371
Position Surface form Disambiguated ID Type / Status
Subject Guillaume E16054 entity
Predicate hasShortForm P43 FINISHED
Object Guillaume (diminutives vary by region) E16054 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: Guillaume (diminutives vary by region) | Statement: [Guillaume, hasShortForm, Guillaume (diminutives vary by region)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guillaume (diminutives vary by region)
Context triple: [Guillaume, hasShortForm, Guillaume (diminutives vary by region)]
  • A. Guillaume chosen
    Guillaume is the French form of the given name William, commonly used in French-speaking countries.
  • B. Jean
    Jean is the given first name of Henry Dunant, the Swiss humanitarian who founded the Red Cross and received the first Nobel Peace Prize.
  • C. Georges
    Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
  • D. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • E. Théodore
    Théodore is a masculine given name of Greek origin, commonly used in French-speaking countries and borne by notable figures such as the Reformation theologian Théodore Beza.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a68158508190998da10e69252662 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e44b9c88190a4481c28499860d7 completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:37 p.m.