Triple

T5713931
Position Surface form Disambiguated ID Type / Status
Subject Heaven Can Wait E125976 entity
Predicate starring P1507 FINISHED
Object Charles Grodin E97760 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: Charles Grodin | Statement: [Heaven Can Wait, starring, Charles Grodin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Grodin
Context triple: [Heaven Can Wait, starring, Charles Grodin]
  • A. Charles Grodin chosen
    Charles Grodin was an American actor, comedian, and writer known for his deadpan delivery in films such as "The Heartbreak Kid," "Midnight Run," and the "Beethoven" series.
  • B. Walter Matthau
    Walter Matthau was an American actor renowned for his gruff charm and comedic roles in films such as "The Odd Couple" and "The Bad News Bears."
  • C. Charles Matthau
    Charles Matthau is an American film and television director and producer, and the son of actor Walter Matthau.
  • D. Harold Gould
    Harold Gould was an American character actor best known for his prolific work in film and television from the 1960s through the 1990s, including memorable roles in projects like "The Sting" and the TV series "The Golden Girls."
  • E. Gene Wilder
    Gene Wilder was an American comic actor and writer best known for his roles in films such as Willy Wonka & the Chocolate Factory, Young Frankenstein, and Blazing Saddles.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b5205c8190aaab291a6e485ec1 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a74b350819099d8881ef248e1e7 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.