Triple

T8319138
Position Surface form Disambiguated ID Type / Status
Subject Joseph Hillström King E194784 entity
Predicate name P16 FINISHED
Object Joseph Hillström King E194784 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: Joseph Hillström King | Statement: [Joseph Hillström King, name, Joseph Hillström King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Hillström King
Context triple: [Joseph Hillström King, name, Joseph Hillström King]
  • A. Joseph Hillström King chosen
    Joseph Hillström King, better known by his pen name Joe Hill, is an American author acclaimed for his horror and dark fantasy novels and short stories, and is the son of writer Stephen King.
  • B. Frederic Knudtson
    Frederic Knudtson was an American film editor known for his work on numerous Hollywood productions in the mid-20th century.
  • C. William Tunberg
    William Tunberg was an American screenwriter best known for adapting the classic 1957 Disney film "Old Yeller."
  • D. Sten Carl Bielke
    Sten Carl Bielke was an 18th-century Swedish statesman and scientist who played a key role in advancing scientific institutions in Sweden.
  • E. Olof Daniel Westling
    Olof Daniel Westling is the Swedish-born commoner-turned-royal who became Prince Daniel, Duke of Västergötland, upon marrying Crown Princess Victoria of Sweden.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f648e10819081ad1fed870b2b86 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9596891c81909296050d0a8117ca completed April 1, 2026, 10 p.m.
Created at: March 30, 2026, 5:55 p.m.