Triple

T14585223
Position Surface form Disambiguated ID Type / Status
Subject Akeem Joffer E342296 entity
Predicate fictionalSpouse P30304 FINISHED
Object Lisa McDowell E445823 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: Lisa McDowell | Statement: [Akeem Joffer, fictionalSpouse, Lisa McDowell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisa McDowell
Context triple: [Akeem Joffer, fictionalSpouse, Lisa McDowell]
  • A. Lisa McDowell chosen
    Lisa McDowell is the intelligent, independent love interest of Prince Akeem in the 1988 comedy film "Coming to America," known for challenging social expectations and valuing character over wealth.
  • B. Lisa Rogers
    Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
  • C. Lisa McGrillis
    Lisa McGrillis is a British actress known for her work in television, film, and theatre, including roles in series like "Inspector George Gently" and "Mum."
  • D. Rachel McCleary
    Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
  • E. Claire McDowell
    Claire McDowell was an American silent film actress known for her prolific work in early cinema, often appearing in D.W. Griffith productions.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4209b988190ad2a7b2dead8ffed completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00179824c88190aeef28a08eb1a0c9 completed May 10, 2026, 5:28 a.m.
Created at: April 10, 2026, 1:24 a.m.