Triple

T12239015
Position Surface form Disambiguated ID Type / Status
Subject Robert Hohman E291677 entity
Predicate employer P7 FINISHED
Object Hotwire E276905 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: Hotwire | Statement: [Robert Hohman, employer, Hotwire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotwire
Context triple: [Robert Hohman, employer, Hotwire]
  • A. Hotwire chosen
    Hotwire is an online travel agency known for offering discounted rates on hotels, flights, and rental cars through opaque and standard booking options.
  • B. Hotwire
    Hotwire is a science fiction comic series known for its gritty, cyberpunk-inspired storytelling and striking artwork.
  • C. Hotwire: Requiem for the Dead
    Hotwire: Requiem for the Dead is a science fiction comic series following a tough, technologically savvy exorcist who polices restless spirits in a dystopian future city.
  • D. Hotwire: Deep Cut
    Hotwire: Deep Cut is a comic book series illustrated by Steve Pugh that blends science fiction and action in a gritty, futuristic setting.
  • E. Livewire
    Livewire is a DC Comics supervillain and frequent Superman adversary who can generate and control electricity.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb45340819093365f8efdf85f75 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab3ae2481908f65d8ac61a6b2e4 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.