Triple

T7560597
Position Surface form Disambiguated ID Type / Status
Subject Dr. Claire Finn E178782 entity
Predicate parentOf P120 FINISHED
Object Marcus Finn E161199 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: Marcus Finn | Statement: [Dr. Claire Finn, parentOf, Marcus Finn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcus Finn
Context triple: [Dr. Claire Finn, parentOf, Marcus Finn]
  • A. Marcus Finn chosen
    Marcus Finn is an individual primarily known for his notable association with Isaac, about whom little else is publicly documented.
  • B. Brandon Finnegan
    Brandon Finnegan is a cinematographer best known for his work on the action film "Rambo: Last Blood."
  • C. Deacon Frost
    Deacon Frost is a powerful vampire and primary antagonist in Marvel's Blade series, known for his role in creating Blade and seeking to dominate both humans and vampires.
  • D. Mali Finn
    Mali Finn was a prominent American casting director known for discovering and launching the careers of numerous young actors in major Hollywood films.
  • E. Marcus Kane
    Marcus Kane is a central political leader and moral compass in the post-apocalyptic TV series "The 100," known for his evolution from strict authoritarian to compassionate advocate for peace.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8dd96488190b4cca25ae8f7f95c completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861579b048190a67f33cb87791e8b completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:50 p.m.