Triple

T14623055
Position Surface form Disambiguated ID Type / Status
Subject Todd Harrell E343271 entity
Predicate hasPartInDiscography P1995 FINISHED
Object Seventeen Days E343273 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: Seventeen Days | Statement: [Todd Harrell, hasPartInDiscography, Seventeen Days]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seventeen Days
Context triple: [Todd Harrell, hasPartInDiscography, Seventeen Days]
  • A. Seventeen Days chosen
    Seventeen Days is the third studio album by American rock band 3 Doors Down, known for its post-grunge sound and radio-friendly rock tracks.
  • B. 117 Days
    117 Days is a memoir by South African anti-apartheid activist Ruth First recounting her arrest and solitary confinement under the apartheid regime.
  • C. A Thousand Days Before
    "A Thousand Days Before" is a song by the American rock band Soundgarden from their 2012 reunion album *King Animal*.
  • D. Seven Days
    "Seven Days" is an American science fiction television series centered on a secret government program that uses time travel to prevent disasters.
  • E. Seven Days
    Seven Days is a musical project or band known for its association with guitarist Guitar Bains.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb468acc4819083b7e818d5cec809 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5cd890c8190902c9b526babe6d3 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.