Triple

T12478119
Position Surface form Disambiguated ID Type / Status
Subject The Last Party E298229 entity
Predicate author P4 FINISHED
Object Adele Morales E61504 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: Adele Morales | Statement: [The Last Party, author, Adele Morales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adele Morales
Context triple: [The Last Party, author, Adele Morales]
  • A. Adele Morales chosen
    Adele Morales was an American painter and writer best known for her tumultuous marriage to author Norman Mailer and her later memoir recounting their relationship.
  • B. Anna Morales
    Anna Morales is a tough, pragmatic businesswoman and the morally ambiguous wife of an ambitious heating-oil entrepreneur in the crime drama film "A Most Violent Year."
  • C. Adele Mara
    Adele Mara was an American film and television actress and singer active mainly in the 1940s and 1950s, known for her roles in numerous Hollywood Westerns and adventure films.
  • D. Natalie Morales
    Natalie Morales is an American broadcast journalist and television anchor best known for her work on NBC News programs including the Today show and Dateline NBC.
  • E. Natalie Morales
    Natalie Morales is an American actress and filmmaker known for her roles in television series like "Parks and Recreation" and "The Middleman," as well as her work as a voice and film director.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcc24e48190ae9c367a03f659f4 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba5efc881909784037b95f7bbe3 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.