Triple

T9729110
Position Surface form Disambiguated ID Type / Status
Subject Madison Russell E235691 entity
Predicate worksWith P398 FINISHED
Object Emma Russell E817480 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: Emma Russell | Statement: [Madison Russell, worksWith, Emma Russell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Russell
Context triple: [Madison Russell, worksWith, Emma Russell]
  • A. Emma Russell chosen
    Emma Russell is a character in the MonsterVerse franchise, depicted as a Monarch scientist and the mother of Madison Russell in the film "Godzilla: King of the Monsters."
  • B. Julia Thorne
    Julia Thorne was an American writer and mental health advocate best known as the first wife of politician John Kerry.
  • C. Autumn Reeser
    Autumn Reeser is an American actress best known for her television roles on series such as "The O.C.," "Entourage," and numerous Hallmark Channel movies.
  • D. Bella Greene
    Bella Greene is a relatively obscure individual whose specific public achievements or background are not widely documented.
  • E. Bella Thornton
    Bella Thornton is the daughter of American actor, filmmaker, and musician Billy Bob Thornton.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eafa3a88190bc62924d94b89cd8 completed April 1, 2026, 10:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afba5ec081908044a4aefdc6f9ee completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:21 p.m.