Triple

T12772313
Position Surface form Disambiguated ID Type / Status
Subject Max Shreck E305274 entity
Predicate enemyOf P437 FINISHED
Object Selina Kyle E135917 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: Selina Kyle | Statement: [Max Shreck, enemyOf, Selina Kyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selina Kyle
Context triple: [Max Shreck, enemyOf, Selina Kyle]
  • A. Selina Kyle chosen
    Selina Kyle is a cunning and morally ambiguous cat burglar in the Batman universe, best known by her alter ego Catwoman.
  • 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. Misty Knight
    Misty Knight is a Marvel Comics character, a bionic-armed former NYPD detective known for her street-level heroics and frequent collaborations with heroes like Luke Cage and Iron Fist.
  • D. Selina
    Selina is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • E. Margaret Lemon
    Margaret Lemon is a fictional character on the television series "30 Rock," known as the overbearing and critical mother of protagonist Liz Lemon.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df5b68481908a5d40516b09be52 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684fcd4b48190ab610efffcbd1546 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:28 p.m.