Triple

T17587222
Position Surface form Disambiguated ID Type / Status
Subject Eyes That See in the Dark E428352 entity
Predicate includesTrack P3284 FINISHED
Object Buried Treasure NE NERFINISHED

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: Buried Treasure | Statement: [Eyes That See in the Dark, includesTrack, Buried Treasure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buried Treasure
Context triple: [Eyes That See in the Dark, includesTrack, Buried Treasure]
  • A. Buried Treasure chosen
    "Buried Treasure" is a song by Kenny Rogers from his 1983 album "Eyes That See in the Dark."
  • B. Treasure
    "Treasure" is a 2013 funk- and disco-influenced pop song by Bruno Mars, known for its retro sound and upbeat, danceable vibe.
  • C. Treasure
    Treasure is a Japanese video game developer renowned for its innovative, fast-paced action titles and cult-classic shooters.
  • D. A Treasure
    A Treasure is a live album by Neil Young featuring performances with his country backing band The International Harvesters, recorded during his mid-1980s tours.
  • E. Treasure Hunt
    "Treasure Hunt" is a novel by Frederick Buechner, part of his Book of Bebb series, that continues the comic yet spiritually probing adventures of the eccentric evangelist Leo Bebb.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e41bf08190963848f1597b6e9f completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.