Triple

T21252333
Position Surface form Disambiguated ID Type / Status
Subject May Parker (Spider-Girl) E523774 entity
Predicate firstAppearance P795 FINISHED
Object What If? vol. 2 #105 — NE NERFINISHED

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: What If? vol. 2 #105 | Statement: [May Parker (Spider-Girl), firstAppearance, What If? vol. 2 #105]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: What If? vol. 2 #105
Context triple: [May Parker (Spider-Girl), firstAppearance, What If? vol. 2 #105]
  • A. What If?
    "What If?" is a song by the American rock band Creed, known for its heavy guitar riffs and introspective lyrics.
  • B. What If? chosen
    "What If?" is a speculative storytelling concept or series that explores alternate outcomes and possibilities branching from key events in a narrative universe.
  • C. What If?
    What If? is Randall Munroe’s popular science blog (and later book) where he answers bizarre hypothetical questions using rigorous scientific reasoning and humor.
  • D. What If
    What If is a romantic comedy film best known for its witty exploration of friendship and love, starring Daniel Radcliffe and Mackenzie Davis.
  • E. What If
    "What If" is a song by the South Korean hip hop duo X&Y.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359f5b408190b951adddba83c97a completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.