Triple

T9115044
Position Surface form Disambiguated ID Type / Status
Subject The Oath E218700 entity
Predicate supportingCharacter P7748 FINISHED
Object Night Nurse E778820 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: Night Nurse | Statement: [The Oath, supportingCharacter, Night Nurse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Night Nurse
Context triple: [The Oath, supportingCharacter, Night Nurse]
  • A. Night Nurse chosen
    Night Nurse is a Marvel Comics character who serves as a clandestine medical professional treating injured superheroes and vigilantes.
  • B. The Nurses
    The Nurses is an American television drama series from the 1960s that focused on the professional and personal lives of nurses working in a New York City hospital.
  • C. Night Shift
    "Night Shift" is a 1978 collection of horror and suspense short stories by Stephen King that helped establish his reputation as a master of the genre.
  • D. Night Shift
    Night Shift is a 1982 comedy film directed by Ron Howard that helped establish Michael Keaton as a major comedic actor.
  • E. Night Shift
    "Night Shift" is a critically acclaimed indie rock song by American singer-songwriter Lucy Dacus, known for its emotionally raw lyrics and slow-building, cathartic arrangement.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a1340881909dc791b825e87ef2 completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047afbc388190905b13582cd59b05 completed April 3, 2026, 11:05 p.m.
Created at: March 30, 2026, 7:16 p.m.