Triple

T11760524
Position Surface form Disambiguated ID Type / Status
Subject The Harder They Fall E279642 entity
Predicate starring P1507 FINISHED
Object Jan Sterling E205672 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: Jan Sterling | Statement: [The Harder They Fall, starring, Jan Sterling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Sterling
Context triple: [The Harder They Fall, starring, Jan Sterling]
  • A. Jan Sterling chosen
    Jan Sterling was an American film and stage actress best known for her hard-edged, often vulnerable roles in 1950s Hollywood dramas such as "Ace in the Hole" and "The High and the Mighty."
  • B. Jane Sterling
    Jane Sterling is a young, glamorous secretary-turned-wife of advertising executive Roger Sterling in the television series "Mad Men."
  • C. Myra McQueen
    Myra McQueen is a fictional character from the British soap opera "Hollyoaks," known as the outspoken matriarch of the McQueen family.
  • D. Alma Garret
    Alma Garret is a wealthy, opium-addicted widow and prominent businesswoman in the frontier town of Deadwood in the television series "Deadwood."
  • E. Darlene Hunt
    Darlene Hunt is an American television writer and producer best known for creating the Showtime series "The Big C" and serving as an executive producer on various TV projects.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a3dfd1081908221c8061931282b completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.