Triple

T1420595
Position Surface form Disambiguated ID Type / Status
Subject Alexis Carrel E30215 entity
Predicate givenName P17 FINISHED
Object Alexis E90901 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: Alexis | Statement: [Alexis Carrel, givenName, Alexis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexis
Context triple: [Alexis Carrel, givenName, Alexis]
  • A. Alexis chosen
    Alexis is a given name most famously borne by the French political thinker and historian Alexis de Tocqueville.
  • B. Alix
    Alix is the given name of Alix of Hesse and by Rhine, who became Empress Alexandra Feodorovna of Russia as the wife of Tsar Nicholas II.
  • C. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • D. Juliana
    Juliana was Queen of the Netherlands from 1948 to 1980, known for her down-to-earth style and role in guiding the country through postwar reconstruction and decolonization.
  • E. Juliana
    Juliana is an Old English religious poem attributed to the Anglo-Saxon poet Cynewulf, recounting the legend and martyrdom of Saint Juliana.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c40764ec8190b85de6befcb20dda completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad3085a058819080508b3466f2a1d5 completed March 8, 2026, 8:17 a.m.
Created at: March 1, 2026, 7:59 p.m.