Triple

T6812932
Position Surface form Disambiguated ID Type / Status
Subject The Mighty Barnum E156679 entity
Predicate castMember P1668 FINISHED
Object Janet Beecher E594700 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: Janet Beecher | Statement: [The Mighty Barnum, castMember, Janet Beecher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janet Beecher
Context triple: [The Mighty Barnum, castMember, Janet Beecher]
  • A. Janet Beecher chosen
    Janet Beecher was an American stage and film actress active in the early 20th century, known for her character roles in numerous Hollywood productions.
  • B. Beverly Van Zile
    Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
  • C. Beverly Prochnow
    Beverly Prochnow is known as the spouse of German actor Jürgen Prochnow, recognized for his roles in films such as "Das Boot."
  • D. Janet Healy
    Janet Healy is a film producer known for her work on animated features, including the 2012 adaptation of Dr. Seuss's "The Lorax."
  • E. Janet Patterson
    Janet Patterson was an acclaimed Australian costume and production designer known for her richly detailed period work on films such as "The Piano" and "Oscar and Lucinda."
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d329861881909f65bd1017ea384b completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69ccec1cb5d48190ac9f6ad5920403f1 completed April 1, 2026, 9:57 a.m.
Created at: March 27, 2026, 2:17 p.m.