Triple

T11228538
Position Surface form Disambiguated ID Type / Status
Subject Gerald O'Hara E265758 entity
Predicate child P120 FINISHED
Object Scarlett O'Hara E48313 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: Scarlett O'Hara | Statement: [Gerald O'Hara, child, Scarlett O'Hara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scarlett O'Hara
Context triple: [Gerald O'Hara, child, Scarlett O'Hara]
  • A. Scarlett O'Hara chosen
    Scarlett O'Hara is the strong-willed, manipulative Southern belle who serves as the central heroine of Margaret Mitchell's Civil War–era novel "Gone with the Wind."
  • B. Scarlett
    Scarlett is the given name of American actress Scarlett Johansson, a prominent Hollywood star known for roles in films like "Lost in Translation" and the Marvel Cinematic Universe.
  • C. Scarlett
    Scarlett is a fictional burlesque performer character associated with The Burlesque Lounge setting.
  • D. Scarlett Curtis
    Scarlett Curtis is a British writer, activist, and feminist known for her work on mental health advocacy and for editing the bestselling anthology "Feminists Don't Wear Pink (and Other Lies)."
  • E. Daisy Grant
    Daisy Grant is a fictional press coordinator and later press secretary in the U.S. State Department on the political drama television series "Madam Secretary."
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e900fbcc8190a3177f8a73564433 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad33fdf48190a7118c7c30577ec9 completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.