Triple

T3496838
Position Surface form Disambiguated ID Type / Status
Subject Daniel Brett Weiss E73870 entity
Predicate authorOf P4244 FINISHED
Object Lucky Wander Boy E68165 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: Lucky Wander Boy | Statement: [Daniel Brett Weiss, authorOf, Lucky Wander Boy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucky Wander Boy
Context triple: [Daniel Brett Weiss, authorOf, Lucky Wander Boy]
  • A. Lucky Wander Boy chosen
    Lucky Wander Boy is a cult novel by D. B. Weiss that blends dark comedy and obsessive nostalgia in a story centered on classic video games and existential searching.
  • B. Rootabaga Stories
    Rootabaga Stories is a whimsical collection of American fairy tales for children by poet Carl Sandburg, known for its imaginative language and Midwestern folk flavor.
  • C. Lucky Town
    Lucky Town is a 1992 rock album by Bruce Springsteen that blends heartland rock with introspective, personal songwriting.
  • D. Lucky
    "Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
  • E. Lucky
    Lucky is the protagonist of the 1993 film "Poetic Justice," portrayed by Tupac Shakur as a sensitive and complex mail carrier navigating love, grief, and self-discovery.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd16c0081908f13535f459618d1 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373cce4008190beb010b171bc4940 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.