Triple

T7950699
Position Surface form Disambiguated ID Type / Status
Subject Deliver Us from Eva E184605 entity
Predicate starring P1507 FINISHED
Object Meagan Good E65940 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: Meagan Good | Statement: [Deliver Us from Eva, starring, Meagan Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meagan Good
Context triple: [Deliver Us from Eva, starring, Meagan Good]
  • A. Meagan Good chosen
    Meagan Good is an American actress known for her work in film and television, particularly in romantic comedies and dramas.
  • B. Melonie Diaz
    Melonie Diaz is an American actress known for her work in independent films and television, including prominent roles in projects like "Fruitvale Station" and the "Charmed" reboot.
  • C. Joely Fisher
    Joely Fisher is an American actress and singer known for her roles in television series such as "Ellen" and "Til Death," as well as for being part of the prominent Fisher-Reynolds entertainment family.
  • D. Danielle Panabaker
    Danielle Panabaker is an American actress best known for her role as Caitlin Snow/Killer Frost in the Arrowverse television series "The Flash."
  • E. Shannon Elizabeth
    Shannon Elizabeth is an American actress and former fashion model best known for her breakout role in the comedy film "American Pie."
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5b7450819091e4e6f21e9d832d completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe04872ec819090819899ed8dfc80 completed March 31, 2026, 2:55 p.m.
Created at: March 30, 2026, 5:10 p.m.