Triple

T5645213
Position Surface form Disambiguated ID Type / Status
Subject Jake Kasdan E124367 entity
Predicate familyName P18 FINISHED
Object Kasdan E124367 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: Kasdan | Statement: [Jake Kasdan, familyName, Kasdan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kasdan
Context triple: [Jake Kasdan, familyName, Kasdan]
  • A. Kasdan chosen
    Kasdan is a surname most notably associated with American screenwriter, director, and producer Lawrence Kasdan, known for his work on major films such as "The Empire Strikes Back" and "Raiders of the Lost Ark."
  • B. Kasada
    Kasada is a traditional Hindu ritual and festival observed by the Tenggerese people of East Java, Indonesia, involving offerings cast into the crater of Mount Bromo.
  • C. Kadan
    Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
  • D. Kandan
    Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • E. Qadan
    Qadan was a 13th-century Mongol military leader and prince of the Borjigin dynasty who led Mongol forces during their campaign in Poland.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022a8eccc8190837d4705670dc25e completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a1d7af8819092e28ce9fb14d1f1 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:41 p.m.