Triple

T10494412
Position Surface form Disambiguated ID Type / Status
Subject Annihilation E247497 entity
Predicate authorOfSourceWork P2353 FINISHED
Object Jeff VanderMeer E809499 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: Jeff VanderMeer | Statement: [Annihilation, authorOfSourceWork, Jeff VanderMeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff VanderMeer
Context triple: [Annihilation, authorOfSourceWork, Jeff VanderMeer]
  • A. Jeff VanderMeer chosen
    Jeff VanderMeer is an American speculative fiction author best known for his Southern Reach Trilogy, including the novel "Annihilation."
  • B. Brian Hartnett
    Brian Hartnett is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Hartnett surname.
  • C. Greg Egan
    Greg Egan is an Australian science fiction author renowned for his hard science, mathematically rigorous stories exploring consciousness, identity, and the nature of reality.
  • D. Jeffrey Ford
    Jeffrey Ford is a film editor known for his work on major blockbuster movies, including several entries in the Marvel Cinematic Universe.
  • E. Greg Bear
    Greg Bear was an American science fiction author renowned for his hard science-based novels exploring themes such as cosmology, artificial intelligence, and the future evolution of humanity.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097fe2bc81909d66ce43f3533284 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcaeb6088190829b6c26eb1de7d5 completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:24 p.m.