Triple

T19052837
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Porter E466307 entity
Predicate alsoKnownAs P39 FINISHED
Object Tetty NE NERFINISHED

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: Tetty | Statement: [Elizabeth Porter, alsoKnownAs, Tetty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tetty
Context triple: [Elizabeth Porter, alsoKnownAs, Tetty]
  • A. Tetty chosen
    Tetty is the affectionate nickname of Elizabeth Johnson, the wife of 18th-century English writer Samuel Johnson.
  • B. Tebbe
    Tebbe is a German surname that serves as the etymological root for the name Tibbets.
  • C. Nenita
    Nenita is a village on the Greek island of Chios, known for its traditional mastic cultivation and characteristic island architecture.
  • D. Bettejane
    Bettejane is the birth name of American film noir actress Jane Greer, known for her role in the classic movie "Out of the Past."
  • E. Melva
    Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc03dfa08190924a1b8073364fa1 completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.