Triple

T12768706
Position Surface form Disambiguated ID Type / Status
Subject Now Is Good E305189 entity
Predicate character P662 FINISHED
Object Tessa Scott E1009496 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: Tessa Scott | Statement: [Now Is Good, character, Tessa Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tessa Scott
Context triple: [Now Is Good, character, Tessa Scott]
  • A. Tessa Scott chosen
    Tessa Scott is a terminally ill teenage girl who creates and pursues a bold bucket list while confronting love, family, and mortality in the novel and film "Now Is Good."
  • B. Tessa Wheeler
    Tessa Wheeler was a pioneering early 20th-century British archaeologist known for her influential excavations and contributions to developing modern archaeological methods.
  • C. Tess McGill
    Tess McGill is the ambitious, street-smart Staten Island secretary who fights to advance her career in the 1988 film "Working Girl."
  • D. Tessa Kennedy
    Tessa Kennedy is a British interior designer known for her high-profile projects and as the mother of actor Cary Elwes.
  • E. Tara Carpenter
    Tara Carpenter is a central protagonist in the recent Scream film series, known as Sam Carpenter’s younger sister and a resilient survivor of the Ghostface killings.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df3b2f88190b37b696400178795 completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6fefabc8081908e46ffcaef22cce1 completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 5:28 p.m.