Triple

T4246234
Position Surface form Disambiguated ID Type / Status
Subject Suit E95533 entity
Predicate hasPart P35 FINISHED
Object Die for You E331479 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: Die for You | Statement: [Suit, hasPart, Die for You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Die for You
Context triple: [Suit, hasPart, Die for You]
  • A. Die For You chosen
    "Die For You" is a popular R&B song by Canadian singer The Weeknd, known for its emotive vocals, atmospheric production, and enduring chart success.
  • B. 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.
  • C. Dead Like You
    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.
  • D. Somebody's Gotta Die
    "Somebody's Gotta Die" is a dark, narrative-driven hip hop track by The Notorious B.I.G. that tells a cinematic revenge story.
  • E. For You I Will
    "For You I Will" is an R&B ballad by American singer Monica, best known for its appearance on the soundtrack of the 1996 film *Space Jam* and for becoming one of her signature hits.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e8db5bc8190873c5ae3753aaa58 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a87993648190b2969505cdf3c554 completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:05 p.m.