Triple

T16406811
Position Surface form Disambiguated ID Type / Status
Subject Dr. Lisa Cuddy E398454 entity
Predicate hasChild P369 FINISHED
Object Rachel Cuddy E1213134 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: Rachel Cuddy | Statement: [Dr. Lisa Cuddy, hasChild, Rachel Cuddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Cuddy
Context triple: [Dr. Lisa Cuddy, hasChild, Rachel Cuddy]
  • A. Rachel Cuddy chosen
    Rachel Cuddy is the adopted daughter of Dr. Lisa Cuddy in the television series "House."
  • B. Dr. Lisa Cuddy
    Dr. Lisa Cuddy is a central character on the medical drama "House," serving as the hospital’s dean of medicine and Gregory House’s often exasperated but principled boss and foil.
  • C. Callie Torres
    Callie Torres is a fictional orthopedic surgeon on the television series Grey’s Anatomy, known for her complex personal relationships and groundbreaking LGBTQ+ storylines.
  • D. Annalise Keating
    Annalise Keating is a brilliant, morally complex criminal defense attorney and law professor who serves as the central character in the television series "How to Get Away with Murder."
  • E. Lexie Grey
    Lexie Grey is a brilliant but emotionally vulnerable surgical resident on Grey's Anatomy, known for her photographic memory, complex relationships, and tragic storyline.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d36b808190b6b8c412ae0d2faa completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f439d048190bf779cb263b7c7a7 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:09 a.m.