Triple

T18942664
Position Surface form Disambiguated ID Type / Status
Subject Henry Nicholas E463424 entity
Predicate familyName P18 FINISHED
Object Nicholas NE NERFINISHED

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: Nicholas | Statement: [Henry Nicholas, familyName, Nicholas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicholas
Context triple: [Henry Nicholas, familyName, Nicholas]
  • A. Nicholas chosen
    Nicholas is a masculine given name of Greek origin, commonly used in many cultures and historically borne by numerous saints, rulers, and notable figures.
  • B. Nicolas
    Nicolas is a character in the surreal French romantic drama film "Mood Indigo" (2013), which is based on Boris Vian's novel "Froth on the Daydream."
  • C. Nicholas Francis
    Nicholas Francis is a Danish software developer and entrepreneur best known as a co-founder of the game engine and technology company Unity Technologies.
  • D. Nikolas
    Nikolas is a given name, commonly used in various cultures, that derives from the Greek name Nikolaos.
  • E. Nicolas Baby
    Nicolas Baby is a composer best known for creating the musical score for the French thriller film "Le Convoyeur" ("Cash Truck").
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3ec857081908da0f974604f2c65 completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.