Triple

T14487797
Position Surface form Disambiguated ID Type / Status
Subject Jessica Ellen Cornish E359282 entity
Predicate birthName P65 FINISHED
Object Jessica Ellen Cornish E359282 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: Jessica Ellen Cornish | Statement: [Jessica Ellen Cornish, birthName, Jessica Ellen Cornish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Ellen Cornish
Context triple: [Jessica Ellen Cornish, birthName, Jessica Ellen Cornish]
  • A. Jessica Ellen Cornish chosen
    Jessica Ellen Cornish is an English singer and songwriter, better known by her stage name Jessie J, recognized for hits like "Price Tag" and "Domino."
  • B. Kelly Reilly
    Kelly Reilly is an English actress known for her roles in films like "Flight" and the "Sherlock Holmes" series, as well as the television drama "Yellowstone."
  • C. Claire Jackman
    Claire Jackman is a fictional character portrayed by actress Gina Bellman, known from her work in British television and film.
  • D. Teresa Palmer
    Teresa Palmer is an Australian actress known for her roles in films such as "Warm Bodies," "Lights Out," and "Hacksaw Ridge."
  • E. Kate Harrington
    Kate Harrington is known as the former spouse of American film director John McTiernan, who is famous for action films such as "Die Hard" and "Predator."
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930bd1d48190abd6c47da0a3ebc8 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a3e32fc8190822aeb633b60af6b completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:20 a.m.