Triple

T17157640
Position Surface form Disambiguated ID Type / Status
Subject Blake Schwarzenbach E416384 entity
Predicate associatedAct P37 FINISHED
Object Thorns of Life E490664 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: Thorns of Life | Statement: [Blake Schwarzenbach, associatedAct, Thorns of Life]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thorns of Life
Context triple: [Blake Schwarzenbach, associatedAct, Thorns of Life]
  • A. The Thorns of Life chosen
    The Thorns of Life was a short-lived American punk rock band formed in the late 2000s by Jawbreaker frontman Blake Schwarzenbach, known for its raw, politically charged songs and DIY ethos.
  • B. Thorns
    Thorns is the commonly used shorthand name for Portland Thorns FC, a professional women's soccer team based in Portland, Oregon.
  • C. Thorns
    "Thorns" is a dance/electronic track by French DJ and producer Michael Calfan, known for its melodic house style and uplifting energy.
  • D. Thorns
    Thorns is a science fiction novel by Robert Silverberg that explores themes of identity, trauma, and media exploitation in a dystopian future.
  • E. The Thorny Path
    The Thorny Path is a painting by 19th-century French artist Thomas Couture, reflecting his characteristic blend of academic technique and moral or allegorical subject matter.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40bf9ec8190b16372bcd091db9b completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc46c308190b09efb13776747e7 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.