Triple

T2044811
Position Surface form Disambiguated ID Type / Status
Subject Eugene Pallette E45425 entity
Predicate appearedIn P795 FINISHED
Object Topper E175888 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: Topper | Statement: [Eugene Pallette, appearedIn, Topper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Topper
Context triple: [Eugene Pallette, appearedIn, Topper]
  • A. Topper (film series) chosen
    Topper is a classic American comedy film series from the late 1930s and early 1940s, centered on a stuffy banker whose life is upended by the mischievous ghosts of a fun-loving couple.
  • B. Tootsie
    Tootsie is a 1982 American comedy film in which Dustin Hoffman plays an out-of-work actor who disguises himself as a woman to land a role, leading to unexpected fame and complications.
  • C. Harvey
    Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
  • D. Harvey
    Harvey is the middle name of Lee Harvey Oswald, the alleged assassin of U.S. President John F. Kennedy.
  • E. Harvey
    Harvey is a common English surname of Old French origin, often associated with the given name Harvey and borne by various notable individuals.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb97153b08190b91d82f4117982be completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae200125f081909ab40b6a04adaa25 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.