Triple

T9853666
Position Surface form Disambiguated ID Type / Status
Subject Ali Wong E239531 entity
Predicate notableWork P4 FINISHED
Object Beef E498012 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: Beef | Statement: [Ali Wong, notableWork, Beef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beef
Context triple: [Ali Wong, notableWork, Beef]
  • A. Beef chosen
    Beef is a dark comedy-drama television series that follows an escalating feud between two strangers after a road rage incident, produced and distributed by the independent entertainment company A24.
  • B. Ground Chuck
    Ground Chuck was the nickname of Chuck Knox, a successful NFL head coach known for his run-heavy offensive philosophy and emphasis on physical, ground-based football.
  • C. Kobe beef
    Kobe beef is a highly prized, richly marbled wagyu beef from Japan renowned for its exceptional tenderness and flavor.
  • D. Awaji beef
    Awaji beef is a premium, richly marbled wagyu beef from Japan’s Awaji Island, prized for its tenderness and deep flavor.
  • E. Tajima beef
    Tajima beef is a premium, highly marbled wagyu beef from Hyōgo Prefecture in Japan, renowned as the genetic source of famous brands like Kobe beef.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb376d32c819089381cf6ed83629d completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5f21a04819099f23ede55ec3417 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.