Triple

T22453996
Position Surface form Disambiguated ID Type / Status
Subject Marques Houston E555064 entity
Predicate notableWork P4 FINISHED
Object You Got Served 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: You Got Served | Statement: [Marques Houston, notableWork, You Got Served]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You Got Served
Context triple: [Marques Houston, notableWork, You Got Served]
  • A. You Got Served chosen
    You Got Served is a 2004 American dance drama film centered on competitive street dancing and crew rivalries.
  • B. You Got Served: Take It to the Streets
    You Got Served: Take It to the Streets is a dance-focused video game adaptation of the urban street-dancing film franchise, featuring competitive choreography and rhythm-based gameplay.
  • C. Serves You Right
    "Serves You Right" is an R&B song by Lionel Richie from his 1982 self-titled debut solo album.
  • D. Get Me Some
    "Get Me Some" is a song by the American rock band Weezer from their 2009 album *Raditude*.
  • E. Gotta Serve Somebody
    "Gotta Serve Somebody" is a Grammy-winning gospel-influenced song by Bob Dylan, released in 1979 as the lead track on his album "Slow Train Coming."
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4d6368819082cafbbd83339fbf completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.