Triple

T19297134
Position Surface form Disambiguated ID Type / Status
Subject The Last Report on the Miracles at Little No Horse E482593 entity
Predicate hasCharacter P2308 FINISHED
Object Nanapush 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: Nanapush | Statement: [The Last Report on the Miracles at Little No Horse, hasCharacter, Nanapush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanapush
Context triple: [The Last Report on the Miracles at Little No Horse, hasCharacter, Nanapush]
  • A. Nanapush chosen
    Nanapush is a wise, humorous Ojibwe elder and central storyteller in Louise Erdrich’s novels, particularly known for preserving tribal history and culture through his narratives.
  • B. Nagapasha
    Nagapasha is a mythical serpent-noose weapon from Hindu epics, famed for binding its targets with powerful, inescapable snake bonds.
  • C. Nanabhoy
    Nanabhoy is the given name of Nanabhoy Palkhivala, a renowned Indian jurist, constitutional expert, and economist.
  • D. Nanu Nanu
    Nanu Nanu is the quirky alien greeting popularized by Robin Williams’s character Mork on the TV sitcom "Mork & Mindy."
  • E. Nanikai
    Nanikai is a locality within South Tarawa, the densely populated capital area of Kiribati in the central Pacific Ocean.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc85e8988190a98bc291121f0153 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.