Triple

T2388649
Position Surface form Disambiguated ID Type / Status
Subject Emily Brontë E48889 entity
Predicate usedPseudonym P3799 FINISHED
Object Ellis Bell E244145 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: Ellis Bell | Statement: [Emily Brontë, usedPseudonym, Ellis Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellis Bell
Context triple: [Emily Brontë, usedPseudonym, Ellis Bell]
  • A. Ellis Bell chosen
    Ellis Bell is the pseudonym used by English novelist Emily Brontë, best known for writing the classic Gothic novel "Wuthering Heights."
  • B. Sidney Wicks
    Sidney Wicks is a former American professional basketball player, best known as a four-time NBA All-Star forward in the 1970s, primarily with the Portland Trail Blazers.
  • C. Elliott Lewis
    Elliott Lewis was an American actor, director, and producer best known for his prolific work in classic radio and television comedy and drama.
  • D. Allan Swift
    Allan Swift was an American voice actor and radio personality known for his work in animated television specials and commercials.
  • E. James Dodd
    James Dodd is an actor known for his role in the fantasy superhero film "Hellboy II: The Golden Army."
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc7dca9248190b634ae9e02f6899a completed March 7, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3d2ad588190a2cf3adab6a9404d completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.