Triple

T16499867
Position Surface form Disambiguated ID Type / Status
Subject Dave Grohl E400772 entity
Predicate directed P7373 FINISHED
Object Sound City (film) E1216773 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: Sound City (film) | Statement: [Dave Grohl, directed, Sound City (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sound City (film)
Context triple: [Dave Grohl, directed, Sound City (film)]
  • A. Sound City (film) chosen
    Sound City (film) is a 2013 documentary directed by Dave Grohl that chronicles the history, culture, and legendary recordings of the famed Sound City Studios in Los Angeles.
  • B. Rhythm City
    Rhythm City is a South African television soap opera centered on the intertwined lives of people in the music and entertainment industry.
  • C. Sugar City
    Sugar City is the popular nickname for Lautoka, a major Fijian city renowned for its prominent sugar industry and large sugar mill.
  • D. Sugar City
    Sugar City is the nickname of Victorias, a city in the Philippines renowned for its large sugar industry and sugarcane plantations.
  • E. Animal City
    "Animal City" is a song by Colombian singer Shakira from her album Oral Fixation, Vol. 2, blending pop-rock elements with vivid, metaphorical lyrics.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e35b96881908c9d339eea9e4314 completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607e933c8190ae0572583b5a9cbf completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:14 a.m.