Triple

T16843750
Position Surface form Disambiguated ID Type / Status
Subject Dead Tomorrow E409479 entity
Predicate followedBy P78 FINISHED
Object Dead Like You E409480 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: Dead Like You | Statement: [Dead Tomorrow, followedBy, Dead Like You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dead Like You
Context triple: [Dead Tomorrow, followedBy, Dead Like You]
  • A. Dead Like You chosen
    Dead Like You is a crime thriller novel by British author Peter James, featuring Detective Superintendent Roy Grace investigating a series of brutal attacks linked to a past case.
  • B. Dead Already
    "Dead Already" is the percussive, marimba-driven opening track from Thomas Newman's acclaimed score for the film *American Beauty*, known for setting the movie’s distinctive, offbeat tone.
  • C. Day You Die
    "Day You Die" is a popular hip-hop track by Nigerian rapper Naeto C, recognized for its catchy production and introspective lyrics.
  • D. Dead and Gone
    "Dead and Gone" is a hit hip-hop/R&B single by T.I. featuring Justin Timberlake, known for its reflective lyrics about violence, loss, and personal transformation.
  • E. Want You Dead
    "Want You Dead" is a crime thriller novel by British author Peter James, featuring Detective Roy Grace as he investigates a deadly case of obsessive online stalking.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b35284588190a1d6238438f3e70d completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a4c2a881908d2797f6e61792d3 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:24 a.m.