Triple

T12371206
Position Surface form Disambiguated ID Type / Status
Subject Sikhumbuto E295004 entity
Predicate hasPart P35 FINISHED
Object Wall of Names E234626 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: Wall of Names | Statement: [Sikhumbuto, hasPart, Wall of Names]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wall of Names
Context triple: [Sikhumbuto, hasPart, Wall of Names]
  • A. Wall of Names chosen
    Wall of Names is a commemorative structure inscribed with the names of the passengers and crew of United Airlines Flight 93, honoring their memory at the Flight 93 National Memorial.
  • B. One More Name
    "One More Name" is a country song featured on Dwight Yoakam's 1988 album *Buenas Noches from a Lonely Room*.
  • C. The Names
    The Names is a 1982 novel by Don DeLillo that blends political intrigue, linguistic obsession, and expatriate life in Greece and the Middle East into a meditative exploration of language, violence, and meaning.
  • D. The Righteous
    The Righteous is a film written by and starring Mark O'Brien, known as a brooding psychological horror drama with strong religious and moral themes.
  • E. The Names: A Memoir
    The Names: A Memoir is an autobiographical work by N. Scott Momaday that reflects on his Kiowa heritage, family history, and the power of language and storytelling.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa7c9ec81908c685612994543e3 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abfd9c081909803691d3fc4f149 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.