Triple

T17208249
Position Surface form Disambiguated ID Type / Status
Subject Jennie Butchart E417656 entity
Predicate givenName P17 FINISHED
Object Jennie E257220 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: Jennie | Statement: [Jennie Butchart, givenName, Jennie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennie
Context triple: [Jennie Butchart, givenName, Jennie]
  • A. Jennie chosen
    Jennie is a feminine given name commonly used as a diminutive or variant of Jennifer.
  • B. Jennie Monica
    Jennie Monica is a television producer and creator best known for co-creating the animated spin-off series *The Patrick Star Show* from the *SpongeBob SquarePants* franchise.
  • C. Jennie Dean
    Jennie Dean was an influential African American educator and community leader in Virginia who founded the Manassas Industrial School for Colored Youth in the late 19th century.
  • D. Jennie Appleton
    Jennie Appleton is the mysterious young girl who serves as the central, time-transcending figure in the fantasy romance film "Portrait of Jennie."
  • E. Jenifer
    Jenifer is a given name, typically a variant spelling of Jennifer, used primarily for females in English-speaking countries.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc283648190b2c1f957940024aa completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fe0a28c8190a76b3a356f7e0478 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.