Triple

T3926146
Position Surface form Disambiguated ID Type / Status
Subject A River Ain’t Too Much to Love E93280 entity
Predicate hasTrack P3284 FINISHED
Object In the Pines E313303 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: In the Pines | Statement: [A River Ain’t Too Much to Love, hasTrack, In the Pines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In the Pines
Context triple: [A River Ain’t Too Much to Love, hasTrack, In the Pines]
  • A. In the Pines chosen
    "In the Pines" is a traditional American folk song, also known as "Where Did You Sleep Last Night," that has been widely covered and adapted across blues, country, and rock music.
  • B. In the Woods
    In the Woods is a 19th-century landscape painting by American artist Asher B. Durand, exemplifying the Hudson River School’s detailed and reverent depiction of the natural world.
  • C. The Woods
    The Woods is a residential neighborhood within the planned community of Burke Centre in Fairfax County, Virginia.
  • D. The Back Country
    The Back Country is a poetry collection by Gary Snyder that blends nature, Zen Buddhism, and reflections on wilderness and rural life.
  • E. Burnt Pine
    Burnt Pine is the main commercial and population center of Norfolk Island, serving as its largest town and hub for services and tourism.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeed80a1e48190aa39748b9db42701 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52873d5a881909c4c29f06b94a467 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:23 p.m.