Triple

T9904818
Position Surface form Disambiguated ID Type / Status
Subject The Stereotypes E184977 entity
Predicate associatedAct P37 FINISHED
Object Treasure E732850 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: Treasure | Statement: [The Stereotypes, associatedAct, Treasure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Treasure
Context triple: [The Stereotypes, associatedAct, Treasure]
  • A. Treasure
    "Treasure" is a 2013 funk- and disco-influenced pop song by Bruno Mars, known for its retro sound and upbeat, danceable vibe.
  • B. Treasure chosen
    Treasure is a Japanese video game developer renowned for its innovative, fast-paced action titles and cult-classic shooters.
  • C. 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.
  • D. Buried Treasure
    "Buried Treasure" is a song by Kenny Rogers from his 1983 album "Eyes That See in the Dark."
  • E. Container of Treasures
    Container of Treasures is the English translation of the Māori name for the Museum of New Zealand Te Papa Tongarewa, the country’s national museum and art gallery in Wellington.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb4e641e881909dfba78fcb96c433 completed April 2, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb2c1d5c8190b6f1c43254487893 completed April 5, 2026, 4:55 a.m.
Created at: March 30, 2026, 8:40 p.m.