Triple

T4459649
Position Surface form Disambiguated ID Type / Status
Subject Marvel Television E98219 entity
Predicate keyPerson P256 FINISHED
Object Jeph Loeb E439217 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: Jeph Loeb | Statement: [Marvel Television, keyPerson, Jeph Loeb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeph Loeb
Context triple: [Marvel Television, keyPerson, Jeph Loeb]
  • A. Jeph Loeb chosen
    Jeph Loeb is an American comic book writer, television producer, and screenwriter known for his work on major Marvel and DC titles as well as shows like "Smallville" and "Marvel's Agents of S.H.I.E.L.D."
  • B. Henry Jackman
    Henry Jackman is a British film composer known for his dynamic, hybrid orchestral-electronic scores for major Hollywood blockbusters and action films.
  • C. Paul Dini
    Paul Dini is an American writer and producer best known for his influential work on Batman: The Animated Series and for co-creating the character Harley Quinn.
  • D. Brian K. Vaughan
    Brian K. Vaughan is an American comic book and television writer best known for acclaimed series such as Saga, Y: The Last Man, and his work on shows like Lost.
  • E. Ed Brubaker
    Ed Brubaker is an American comic book writer best known for his acclaimed runs on titles like Captain America, Daredevil, and Criminal, where he revitalized characters through noir-influenced, character-driven storytelling.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3567184f481908a2787e4ac9bb345 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6283811f0819095aa671ac593bd8d completed March 15, 2026, 3:32 a.m.
Created at: March 12, 2026, 11:33 p.m.