Triple

T17883863
Position Surface form Disambiguated ID Type / Status
Subject Swamp Thing E447153 entity
Predicate notableWriterRun P10455 FINISHED
Object Scott Snyder 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: Scott Snyder | Statement: [Swamp Thing, notableWriterRun, Scott Snyder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Snyder
Context triple: [Swamp Thing, notableWriterRun, Scott Snyder]
  • A. Scott Snyder chosen
    Scott Snyder is an American comic book writer best known for his acclaimed work on Batman titles for DC Comics, including "Detective Comics" and "Batman."
  • B. Scott A. Snyder
    Scott A. Snyder is an American organic chemist known for his work in complex molecule synthesis and collaboration with prominent chemist K. C. Nicolaou.
  • C. Geoff Johns
    Geoff Johns is a prominent American comic book writer and producer best known for revitalizing major DC Comics characters and serving as a key architect of the modern DC Universe.
  • D. Brian Azzarello
    Brian Azzarello is an American comic book writer best known for his gritty, noir-influenced work on series such as 100 Bullets and numerous titles for DC and its Vertigo imprint.
  • E. Mark Waid
    Mark Waid is an American comic book writer best known for influential runs on titles like The Flash, Kingdom Come, and various Justice League stories for DC Comics.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c11530881908ad98fbd0a52b1c3 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.