Triple

T17301549
Position Surface form Disambiguated ID Type / Status
Subject Mary Jane Watson E420050 entity
Predicate relative P37 FINISHED
Object May Parker E1106742 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: May Parker | Statement: [Mary Jane Watson, relative, May Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: May Parker
Context triple: [Mary Jane Watson, relative, May Parker]
  • A. May Parker chosen
    May Parker is the loving, moral anchor in Spider-Man stories, serving as Peter Parker’s supportive and often long-suffering aunt and guardian.
  • B. Grace Peyton
    Grace Peyton is a fictional character from the television series "Nurse Jackie," known as Jackie Peyton's troubled elder daughter who struggles with anxiety and behavioral issues.
  • C. Millicent "Mil" Parker
    Millicent "Mil" Parker is a fictional character from the British television drama series "This Life," known for its portrayal of young lawyers navigating personal and professional turmoil in London.
  • D. Jennifer Parker
    Jennifer Parker is Marty McFly’s girlfriend in the Back to the Future film series, appearing as a key supporting character across its time-travel adventures.
  • E. Jean Parker
    Jean Parker was an American film and stage actress best known for her roles in 1930s Hollywood productions, including the adaptation of "Little Women."
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438fae8848190a06c5866e606baac completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180dc929c819096a7a5dc81e5b6ef completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:41 a.m.