Triple

T6500809
Position Surface form Disambiguated ID Type / Status
Subject Mariette E148880 entity
Predicate hasNotableBearer P458 FINISHED
Object Mariette Hartley E634399 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: Mariette Hartley | Statement: [Mariette, hasNotableBearer, Mariette Hartley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariette Hartley
Context triple: [Mariette, hasNotableBearer, Mariette Hartley]
  • A. Mariette Hartley chosen
    Mariette Hartley is an American actress known for her work in film and television since the 1960s, including notable roles in Westerns and numerous guest appearances on popular TV series.
  • B. Myrna Fahey
    Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
  • C. Grace Edna Hart
    Grace Edna Hart was the mother of American modernist poet Hart Crane and a significant, often troubled influence on his early life and emotional development.
  • D. Myrna Dell
    Myrna Dell was an American film and television actress known for her roles in 1940s and 1950s Hollywood productions, particularly in film noir and B-movies.
  • E. Jane Wyatt
    Jane Wyatt was an American actress best known for her roles in the film "Gentleman's Agreement" and the television series "Father Knows Best."
  • 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_69c687e9ad288190bae5bcac9c8ac855 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c68ad2e148819088be5c48ad73dc59 completed March 27, 2026, 1:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad6002b48190a3c95b704e700c56 completed March 28, 2026, 10:28 a.m.
Created at: March 27, 2026, 1:42 p.m.