Triple

T14751533
Position Surface form Disambiguated ID Type / Status
Subject Sarah Black E346618 entity
Predicate relative P37 FINISHED
Object Rebecca Black (Twilight character) E1117381 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: Rebecca Black (Twilight character) | Statement: [Sarah Black, relative, Rebecca Black (Twilight character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebecca Black (Twilight character)
Context triple: [Sarah Black, relative, Rebecca Black (Twilight character)]
  • A. Rebecca Black (Twilight character) chosen
    Rebecca Black is a minor character in Stephenie Meyer’s Twilight series, known as the young daughter of Quileute werewolf Sarah Black.
  • B. Rebecca Black
    Rebecca Black is an American singer and internet personality best known for her 2011 viral pop song "Friday."
  • C. Bella Thorne
    Bella Thorne is an American actress, singer, and former Disney Channel star best known for her role on the series "Shake It Up" and her subsequent work in film, television, and music.
  • D. Chloë
    Chloë is a feminine given name of Greek origin, commonly associated with the meaning "blooming" or "green shoot."
  • E. Chloë
    Chloë is a supporting character in the dark comedy crime film "In Bruges," involved in the story’s blend of romance, deception, and violence surrounding two hitmen hiding out in Belgium.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cea5d348190a84970da131292ee completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.