Triple

T14898886
Position Surface form Disambiguated ID Type / Status
Subject Penrod and Sam (1937 film) E359948 entity
Predicate stars P1956 FINISHED
Object Charles Halton E330633 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 Halton | Statement: [Penrod and Sam (1937 film), stars, Charles Halton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Halton
Context triple: [Penrod and Sam (1937 film), stars, Charles Halton]
  • A. Charles Halton chosen
    Charles Halton was an American character actor known for his frequent portrayals of officious clerks, bureaucrats, and authority figures in numerous Hollywood films of the 1930s and 1940s.
  • B. Ray Deakin
    Ray Deakin was an English professional footballer, best known as a tough-tackling defender whose performances earned him recognition in the Bolton Wanderers Hall of Fame.
  • C. John Talman
    John Talman was an English antiquary and art collector of the early 18th century, notable for his pioneering role in the study and preservation of historical artifacts and artworks.
  • D. John Hoyland
    John Hoyland was a prominent British abstract painter known for his bold use of color and large-scale, non-figurative works.
  • E. John Hollowood
    John Hollowood is a businessman known for being one of the founders of the multinational chemicals company Ineos.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded6084574819098033a9723f3e1c4 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bcf32a48190b1f036016f2689b7 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:11 a.m.