Triple

T23487984
Position Surface form Disambiguated ID Type / Status
Subject Casper Crump E570591 entity
Predicate givenName P17 FINISHED
Object Casper 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: Casper | Statement: [Casper Crump, givenName, Casper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casper
Context triple: [Casper Crump, givenName, Casper]
  • A. Casper
    Casper is a 1995 family fantasy film about a friendly ghost who befriends a young girl while haunting a crumbling mansion.
  • B. Casper chosen
    Casper is a given name commonly used in various European countries, often associated with the legendary Three Wise Men and sometimes considered a variant of the name Jasper or Jesper.
  • C. Casper, Wyoming
    Casper, Wyoming is a city in central Wyoming known historically as an oil boomtown and regional hub for energy, commerce, and outdoor recreation.
  • D. Casperia
    Casperia is a historic hilltop village in central Italy’s Lazio region, known for its medieval architecture and panoramic views over the Sabine countryside.
  • E. Garson
    Garson is a masculine given name most notably associated with American writer and director Garson Kanin.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7d9cc08819084c532b069f867ee completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:04 p.m.