Triple

T23059023
Position Surface form Disambiguated ID Type / Status
Subject Adam Kozłowiecki E574243 entity
Predicate givenName P17 FINISHED
Object Adam 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: Adam | Statement: [Adam Kozłowiecki, givenName, Adam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam
Context triple: [Adam Kozłowiecki, givenName, Adam]
  • A. Adam chosen
    Adam is a masculine given name of Hebrew origin, commonly used in many cultures and languages.
  • B. Adam
    Adam is the reanimated creature who serves as the central monster figure in the horror film "I, Frankenstein."
  • C. Adam
    Adam is a character in the film "The City of Your Final Destination," involved in the story surrounding a biographer's attempt to secure authorization to write about a deceased novelist.
  • D. Adam
    Adam is a highly advanced, lifelike android who plays a central role in Ian McEwan’s novel "Machines Like Me," exploring themes of artificial intelligence, morality, and human relationships.
  • E. Adam
    Adam is a supporting character in the stage musical adaptation of "Freaky Friday," involved in the story’s high school setting and teen relationships.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1899e6c788190a2a862122cae8dc3 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.