Triple

T11235064
Position Surface form Disambiguated ID Type / Status
Subject The Bad Seed E265921 entity
Predicate character P662 FINISHED
Object Rhoda Penmark E557453 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: Rhoda Penmark | Statement: [The Bad Seed, character, Rhoda Penmark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhoda Penmark
Context triple: [The Bad Seed, character, Rhoda Penmark]
  • A. Rhoda Penmark chosen
    Rhoda Penmark is the eerily polite, sociopathic child antagonist from the novel and film "The Bad Seed," known for her chillingly remorseless behavior.
  • B. Rhoda Kemins
    Rhoda Kemins was the first wife of American actor Ernest Borgnine, to whom he was married in the late 1940s and early 1950s.
  • C. Beryl Mercer
    Beryl Mercer was a British-born character actress known for her maternal and supporting roles in early 20th-century stage and Hollywood films.
  • D. Frances Penney
    Frances Penney was the wife of Canadian physician and humanitarian Norman Bethune, accompanying parts of his medical and political journey in the early 20th century.
  • E. Ruth Penney
    Ruth Penney was a daughter of American businessman and J.C. Penney founder James Cash Penney.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e903b8ec81909f9c89776d35c650 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f3eca6bc8190bc0640353a505ad5 completed April 19, 2026, 3:25 p.m.
Created at: April 8, 2026, 9:30 p.m.