Triple

T16525058
Position Surface form Disambiguated ID Type / Status
Subject Die Trying E401412 entity
Predicate followedBy P78 FINISHED
Object Tripwire E401413 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: Tripwire | Statement: [Die Trying, followedBy, Tripwire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tripwire
Context triple: [Die Trying, followedBy, Tripwire]
  • A. Tripwire chosen
    Tripwire is a bestselling Jack Reacher thriller novel by Lee Child, featuring the ex-military drifter entangled in a dangerous investigation tied to his past.
  • B. Brightkite
    Brightkite was a location-based social networking service that allowed users to check in at places, share their locations, and connect with nearby friends.
  • C. Hotwire
    Hotwire is an online travel agency known for offering discounted rates on hotels, flights, and rental cars through opaque and standard booking options.
  • D. Hotwire
    Hotwire is a science fiction comic series known for its gritty, cyberpunk-inspired storytelling and striking artwork.
  • E. Wetworks
    Wetworks is a WildStorm comic book series that follows a team of black-ops soldiers bonded with golden symbiote suits to battle supernatural threats.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed323c081908218460aa4ae3cf6 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067a7616c8190af486bef3331e115 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:14 a.m.