Triple

T3364507
Position Surface form Disambiguated ID Type / Status
Subject Paul Nurse E70802 entity
Predicate familyName P18 FINISHED
Object Nurse E3911 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: Nurse | Statement: [Paul Nurse, familyName, Nurse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nurse
Context triple: [Paul Nurse, familyName, Nurse]
  • A. Nurse chosen
    Nurse is a common English occupational surname originally referring to someone who worked as a caregiver or medical attendant.
  • B. Nurse
    The Nurse is Juliet’s talkative, affectionate, and often comic caretaker in Shakespeare’s "Romeo and Juliet," serving as her confidante and go-between in the lovers’ secret relationship.
  • C. Nurses
    Nurses is an American sitcom that follows the personal and professional lives of a group of nurses working at a Miami hospital.
  • D. Nurse Mills
    Nurse Mills is a character from the British television serial "The Singing Detective," known for her role in the protagonist's hospital care and psychological journey.
  • E. RN
    RN is the commonly used abbreviation for "RN: The Memoirs of Richard Nixon," the former U.S. president’s autobiographical account of his life and political career.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb28467b88190bdf70b851bc8efa9 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3254daf8c8190b2141682503c111e completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.