Triple

T15674144
Position Surface form Disambiguated ID Type / Status
Subject Lew Hayward E377392 entity
Predicate warns P2399 FINISHED
Object Frank Cross E377391 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: Frank Cross | Statement: [Lew Hayward, warns, Frank Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Cross
Context triple: [Lew Hayward, warns, Frank Cross]
  • A. Frank Cross chosen
    Frank Cross is the cynical, work-obsessed television executive portrayed by Bill Murray in the 1988 Christmas comedy film "Scrooged," a modern retelling of Charles Dickens' "A Christmas Carol."
  • B. James Cross
    James Cross is a character in the 1988 Christmas comedy film "Scrooged," appearing as a relative of the main character Frank Cross.
  • C. Peter Cross
    Peter Cross is an English illustrator and artist best known for his detailed, whimsical artwork, including cover illustrations for science fiction and fantasy books.
  • D. Theo Cross
    Theo Cross is the child of British actor Ben Cross, known for his role in the film "Chariots of Fire."
  • E. Damon Cross
    Damon Cross is a charismatic and morally ambiguous music executive and love interest in the TV series "Empire."
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82ebe98481908d528d2cba485de4 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:16 a.m.