Triple

T14191730
Position Surface form Disambiguated ID Type / Status
Subject Casey’s Shadow E351727 entity
Predicate starredActor P5563 FINISHED
Object Alexis Smith E466413 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: Alexis Smith | Statement: [Casey’s Shadow, starredActor, Alexis Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexis Smith
Context triple: [Casey’s Shadow, starredActor, Alexis Smith]
  • A. Alexis Smith chosen
    Alexis Smith was a Canadian-born American actress known for her sophisticated roles in classic Hollywood films and later work on stage and television.
  • B. Alexandra Smith
    Alexandra Smith is a television producer best known for her executive production work on the true-crime series "Dirty John."
  • C. Alexis Stewart
    Alexis Stewart is an American television host and radio personality best known as the daughter of lifestyle entrepreneur Martha Stewart and for co-hosting the show "Whatever with Alexis and Jennifer."
  • D. Kirsten Smith
    Kirsten Smith is an American screenwriter and producer best known for co-writing popular teen and romantic comedies such as "Legally Blonde," "10 Things I Hate About You," and "Ella Enchanted."
  • E. Ariel Truax
    Ariel Truax is a central love interest and spirited newcomer in the comedy film "Grumpy Old Men," whose arrival stirs up rivalry and romance between the two elderly protagonists.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61df628c8190ba3f557e2128dce5 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c29b4e08190896ddde5096628d3 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:04 a.m.