Triple

T13831617
Position Surface form Disambiguated ID Type / Status
Subject Elementary E332411 entity
Predicate featuresCharacter P626 FINISHED
Object Joan Watson E898819 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: Joan Watson | Statement: [Elementary, featuresCharacter, Joan Watson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan Watson
Context triple: [Elementary, featuresCharacter, Joan Watson]
  • A. Joan Watson chosen
    Joan Watson is a modern reimagining of Sherlock Holmes’s companion, depicted as a former surgeon turned sober companion and consulting detective partner in the TV series "Elementary."
  • B. Vicki Harper
    Vicki Harper is known as the former spouse of Australian film director Phillip Noyce.
  • C. Dani Dennison
    Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
  • D. Regina Hicks
    Regina Hicks is an American television and film writer-producer known for her work on family-oriented comedies and projects for networks like Disney Channel and HBO.
  • E. Elizabeth Watson
    Elizabeth Watson is known as the wife of molecular biologist and DNA double-helix co-discoverer James Watson.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8efe0948190aaf972cccc2ebc90 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.