Triple

T6315111
Position Surface form Disambiguated ID Type / Status
Subject Regan Abbott E141595 entity
Predicate familyMember P566 FINISHED
Object Marcus Abbott E161009 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 Abbott | Statement: [Regan Abbott, familyMember, Marcus Abbott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcus Abbott
Context triple: [Regan Abbott, familyMember, Marcus Abbott]
  • A. Marcus Abbott chosen
    Marcus Abbott is a central character in the horror film series "A Quiet Place," known as the son in the Abbott family who must survive in a world overrun by sound-sensitive creatures.
  • B. Adam Biddle
    Adam Biddle is a British cinematographer known for his dynamic, high-energy visual style in action films such as "Crank."
  • C. Grant Bardsley
    Grant Bardsley is a British voice actor best known for voicing the protagonist Taran in Disney’s animated film "The Black Cauldron."
  • D. Brian Routh
    Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
  • E. Jeffrey Miller
    Jeffrey Miller was a 20-year-old Kent State University student whose death during the 1970 Kent State shootings became an enduring symbol of opposition to the Vietnam War.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064a197488190946c4637b3c829a5 completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e46feeec8190bdb39a48c92bacf1 completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:28 p.m.