Triple

T5401285
Position Surface form Disambiguated ID Type / Status
Subject Doctor Octopus E120782 entity
Predicate hasLoveInterest P7325 FINISHED
Object Aunt May E421823 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: Aunt May | Statement: [Doctor Octopus, hasLoveInterest, Aunt May]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aunt May
Context triple: [Doctor Octopus, hasLoveInterest, Aunt May]
  • A. Aunt May chosen
    Aunt May is Peter Parker’s loving and morally grounded aunt who serves as a key emotional anchor and guiding influence in the Spider-Man stories.
  • B. Mary Jane Watson
    Mary Jane Watson is a central character in the Spider-Man franchise, best known as Peter Parker’s longtime love interest and a key emotional anchor in his story.
  • C. Helen Burns
    Helen Burns is a pious, patient schoolgirl in Charlotte Brontë’s "Jane Eyre" whose quiet strength and Christian forgiveness deeply influence the young Jane.
  • D. Tante Ju
    Tante Ju is the affectionate nickname for the Junkers Ju 52, a German three-engined transport aircraft widely used in the 1930s and during World War II.
  • E. Gwen Stacy
    Gwen Stacy is a Marvel Comics character who, in various universes, becomes the superhero Spider-Woman (often called Spider-Gwen), known for her close connection to Spider-Man and her role as a key heroine in the Spider-Verse stories.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8771b25c819080da247bc3164cd9 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a9e104881908d6012c87f30061b completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:04 p.m.