Triple

T9879937
Position Surface form Disambiguated ID Type / Status
Subject I Am... World Tour E240172 entity
Predicate includesSong P7178 FINISHED
Object Listen E140733 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: Listen | Statement: [I Am... World Tour, includesSong, Listen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Listen
Context triple: [I Am... World Tour, includesSong, Listen]
  • A. Listen
    "Listen" is an abstract expressionist painting by American artist Lee Krasner, reflecting her dynamic, gestural style and exploration of emotional intensity through color and form.
  • B. Listen chosen
    "Listen" is a powerful ballad from the musical film adaptation of *Dreamgirls*, widely recognized for its soaring vocals and themes of self-empowerment and finding one’s own voice.
  • C. Listen! Listen!
    Listen! Listen! is a children's picture book written by Ann Rand, known for its poetic exploration of sounds and everyday experiences.
  • D. Listen People
    "Listen People" is a 1966 pop song by the British beat group Herman's Hermits, known for its gentle melody and romantic lyrics characteristic of the band's mid-1960s hits.
  • E. Learn to Listen
    "Learn to Listen" is a track by the electronic music duo Brain Drain, known for its atmospheric production and introspective tone.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb4146fe881908f9fc553dfca31e1 completed April 2, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e48665e88190ab8a4a30b1df8ebe completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:37 p.m.