Triple

T9472268
Position Surface form Disambiguated ID Type / Status
Subject Eliza E228419 entity
Predicate hasFamousBearer P458 FINISHED
Object Eliza Taylor E653588 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: Eliza Taylor | Statement: [Eliza, hasFamousBearer, Eliza Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eliza Taylor
Context triple: [Eliza, hasFamousBearer, Eliza Taylor]
  • A. Eliza Taylor chosen
    Eliza Taylor is an Australian actress best known for starring as Clarke Griffin in the post-apocalyptic television series "The 100."
  • B. Liz Taylor
    Liz Taylor is a glamorous, sharp-tongued, transgender hotel bartender portrayed by Denis O'Hare in American Horror Story: Hotel.
  • C. Elizabeth Taylor
    Elizabeth Taylor was a legendary British-American actress and Hollywood icon renowned for her beauty, violet eyes, and acclaimed performances in films such as "Cleopatra" and "Who's Afraid of Virginia Woolf?".
  • D. Liz Robertson
    Liz Robertson is a British musical theatre actress and singer known for her performances in West End and Broadway productions.
  • E. Noel Neill
    Noel Neill was an American actress best known for playing Lois Lane in the classic Superman film serials and the 1950s television series "Adventures of Superman."
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fef6f288190b2d158c829b31de9 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139ece5bc81908956e1f7ecbb1aa4 completed April 4, 2026, 4:18 p.m.
Created at: March 30, 2026, 7:54 p.m.