Triple

T13718517
Position Surface form Disambiguated ID Type / Status
Subject Faheem Rasheed Najm E328964 entity
Predicate notableWork P4 FINISHED
Object “Bartender” E294000 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: “Bartender” | Statement: [Faheem Rasheed Najm, notableWork, “Bartender”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Bartender”
Context triple: [Faheem Rasheed Najm, notableWork, “Bartender”]
  • A. Bartender
    "Bartender" is a song by British singer-songwriter James Blunt, known for its laid-back, acoustic-pop style and themes of escapism and emotional refuge.
  • B. Bartender chosen
    "Bartender" is a 2006 R&B/hip-hop single by Akon featuring T-Pain, known for its smooth club vibe and catchy hook about meeting a bartender at a nightclub.
  • C. Bartender's Blues
    "Bartender's Blues" is a country song best known from George Jones’s 1978 recording, portraying the melancholy life and emotional struggles of a bartender.
  • D. Hey Bartender
    "Hey Bartender" is a country song recorded by American singer Johnny Lee, best known for his 1980 hit "Lookin' for Love."
  • E. Hey Bartender (album)
    "Hey Bartender" is a country music album by American singer Johnny Lee, known for its honky-tonk style and barroom-themed songs.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd439a121c81908cae964e7756274c completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5a23bc8190942568658665bbb0 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.