Triple

T3628259
Position Surface form Disambiguated ID Type / Status
Subject Chris Day E76891 entity
Predicate hasFamilyName P18 FINISHED
Object Day E305775 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: Day | Statement: [Chris Day, hasFamilyName, Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Day
Context triple: [Chris Day, hasFamilyName, Day]
  • A. Day
    "Day" is a memoir by Elie Wiesel that continues his reflection on Holocaust survival and its psychological aftermath, following the events depicted in "Night."
  • B. Day chosen
    Day is a common English surname borne by numerous notable individuals across politics, law, arts, and sports.
  • C. Dag
    Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
  • D. Egun
    Egun are an ethnic group in southwestern Nigeria and neighboring Benin, culturally related to the Yoruba and Fon peoples and known for their distinct language and coastal communities.
  • E. Day by Day
    "Day by Day" is a popular devotional song from the 1971 musical *Godspell*, known for its simple, prayer-like lyrics and enduring presence in both theater and contemporary Christian music.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2ddccc881909ae13dca3dd8a11d completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b433270ddc81908080698604009737 completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.