Triple

T10632773
Position Surface form Disambiguated ID Type / Status
Subject Gabriel Macht E250499 entity
Predicate notableWork P4 FINISHED
Object Archangel E522818 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: Archangel | Statement: [Gabriel Macht, notableWork, Archangel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Archangel
Context triple: [Gabriel Macht, notableWork, Archangel]
  • A. Archangel chosen
    Archangel is a historical fiction collection by Andrea Barrett that intertwines science, war, and personal relationships in early 20th-century settings.
  • B. Archangel
    Archangel is a historic Russian port city on the White Sea that served as a major northern gateway for European trade before the rise of St. Petersburg.
  • C. Arkangel
    Arkangel is an episode of the dystopian anthology series "Black Mirror" that explores parental overprotection through invasive surveillance technology implanted in a child.
  • D. Artangel
    Artangel is a London-based arts organization known for producing ambitious, site-specific and often socially engaged contemporary art projects.
  • E. Arcángel
    Arcángel is a Puerto Rican-American reggaeton and Latin trap singer and songwriter known for his influential role in the urban Latin music scene.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df95f5e88190b34ce3ec972759ef completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bbd64d8819089d55af875d39e45 completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:02 p.m.