Triple

T10897948
Position Surface form Disambiguated ID Type / Status
Subject Linda Cardellini E257358 entity
Predicate notableWork P4 FINISHED
Object Bloodline E514603 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: Bloodline | Statement: [Linda Cardellini, notableWork, Bloodline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bloodline
Context triple: [Linda Cardellini, notableWork, Bloodline]
  • A. Bloodline chosen
    Bloodline is a Netflix original drama-thriller series about a troubled Florida Keys family whose dark secrets resurface when their black sheep brother returns home.
  • B. Bloodline
    Bloodline is a Star Wars novel by Claudia Gray that explores Leia Organa’s political struggles and the rise of the First Order in the years leading up to The Force Awakens.
  • C. Bloodline
    "Bloodline" is a thriller novel by F. Paul Wilson, part of his long-running Repairman Jack series that blends supernatural horror with crime and conspiracy.
  • D. Bloodline
    Bloodline is a racing track or course associated with the Outer South region, known within that locale’s motorsport or racing circuit.
  • E. Bloodline
    Bloodline is a 1977 thriller novel by Sidney Sheldon that follows a young heiress uncovering deadly secrets within her family's powerful international pharmaceutical empire.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d03a3fc81908df039b9b5ab9ca2 completed April 9, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15524ec5c8190a330ce5fc16dd11d completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:21 p.m.