Triple

T7408401
Position Surface form Disambiguated ID Type / Status
Subject A-Sides E170937 entity
Predicate includesSong P7178 FINISHED
Object Spoonman E30023 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: Spoonman | Statement: [A-Sides, includesSong, Spoonman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spoonman
Context triple: [A-Sides, includesSong, Spoonman]
  • A. Spoonman chosen
    "Spoonman" is a Grammy-winning 1994 grunge single by Soundgarden, written by Chris Cornell and inspired by Seattle street performer Artis the Spoonman.
  • B. Spoonful
    "Spoonful" is a classic blues song, written by Willie Dixon and popularized by Howlin' Wolf, that has become a standard in the Chicago blues repertoire.
  • C. Bending Spoons
    Bending Spoons is an Italian technology company known for developing popular mobile apps and digital products used by millions worldwide.
  • D. Sucker
    Sucker is a 2015 Australian comedy film about a teenage conman who becomes entangled with a charismatic swindler and his enigmatic daughter.
  • E. Sucker
    "Sucker" is a 2019 upbeat pop single by the Jonas Brothers that marked their high-profile comeback and became a chart-topping hit.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f29acf588190a7c4056bdc4f3ffc completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111fcd948190adbe6280df53a916 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.