Triple

T5101188
Position Surface form Disambiguated ID Type / Status
Subject Severance E114982 entity
Predicate castMember P1668 FINISHED
Object Dichen Lachman E443030 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: Dichen Lachman | Statement: [Severance, castMember, Dichen Lachman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dichen Lachman
Context triple: [Severance, castMember, Dichen Lachman]
  • A. Dichen Lachman chosen
    Dichen Lachman is a Nepalese-Australian actress and producer best known for her genre television roles in series such as Dollhouse, Agents of S.H.I.E.L.D., and The 100.
  • B. Mackenzie Davis
    Mackenzie Davis is a Canadian actress known for her roles in films like "Blade Runner 2049" and "The Martian" and the TV series "Halt and Catch Fire."
  • C. Adeena Sussman
    Adeena Sussman is an American-Israeli cookbook author and food writer known for her vibrant, flavor-forward recipes and collaborations with prominent culinary figures.
  • D. Angourie Rice
    Angourie Rice is an Australian actress known for her breakout role in "The Nice Guys" and for appearing in films such as "Spider-Man: Homecoming" and "Spider-Man: Far From Home."
  • E. Suki Waterhouse
    Suki Waterhouse is an English model, actress, and singer known for her fashion work, film roles, and music career.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7584ed408190a6d1086588f24faa completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfc467008190ae704139f21edae2 completed March 21, 2026, 5:05 p.m.
Created at: March 20, 2026, 1:40 p.m.