Triple

T16884226
Position Surface form Disambiguated ID Type / Status
Subject Larkin Seiple E421496 entity
Predicate workedOn P3 FINISHED
Object Bleed for This E237584 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: Bleed for This | Statement: [Larkin Seiple, workedOn, Bleed for This]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bleed for This
Context triple: [Larkin Seiple, workedOn, Bleed for This]
  • A. Bleed for This chosen
    Bleed for This is a 2016 biographical sports drama film about boxer Vinny Pazienza’s remarkable comeback after a near-fatal car accident.
  • B. Bleed
    "Bleed" is a highly influential and technically demanding extreme metal song, best known from the Swedish band Meshuggah.
  • C. Bleed for Me
    "Bleed for Me" is a song by the Swedish heavy metal band Saliva, featured on their 2004 album "Survival of the Sickest."
  • D. Bleed Like Me
    Bleed Like Me is the fourth studio album by American alternative rock band Garbage, known for its heavier guitar-driven sound and confessional lyrics.
  • E. Bleed the Freak
    "Bleed the Freak" is a heavy, dark-toned grunge/metal song by Alice in Chains, known for its brooding atmosphere and powerful vocal harmonies.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbbf0cec819084216807601afad1 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2baece88190ad9821219dff7e27 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.