Triple

T12906877
Position Surface form Disambiguated ID Type / Status
Subject Draw the Line E308750 entity
Predicate nextWork P9710 FINISHED
Object Live! Bootleg E1008585 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: Live! Bootleg | Statement: [Draw the Line, nextWork, Live! Bootleg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Live! Bootleg
Context triple: [Draw the Line, nextWork, Live! Bootleg]
  • A. Live! Bootleg chosen
    Live! Bootleg is a 1978 live album by American rock band Aerosmith, capturing raw concert performances from their 1970s heyday.
  • B. Live!
    Live! is a landmark 1975 live reggae album by Bob Marley and the Wailers, celebrated for its energetic performances and iconic recording of "No Woman, No Cry."
  • C. Live!
    Live! is a jazz album by organist Jack McDuff, capturing his energetic soul-jazz style in a live performance setting.
  • D. Almost Live!
    Almost Live! was a Seattle-based sketch comedy television show known for its local satire and for launching the careers of several prominent comedians.
  • E. Live Alive
    Live Alive is a blues-rock live album by Stevie Ray Vaughan and Double Trouble, capturing powerful performances from their mid-1980s concerts.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719d4d1c8190a2c4f362e1772a73 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af5c133c81908b52fc18262c819d completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:41 p.m.