Triple

T16436111
Position Surface form Disambiguated ID Type / Status
Subject Reb Beach E399182 entity
Predicate associatedAct P37 FINISHED
Object Winger E1214067 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: Winger | Statement: [Reb Beach, associatedAct, Winger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winger
Context triple: [Reb Beach, associatedAct, Winger]
  • A. Winger
    Winger is the surname of American actress Debra Winger, known for her acclaimed roles in films such as "An Officer and a Gentleman" and "Terms of Endearment."
  • B. Winger chosen
    Winger is an American hard rock band best known for its late-1980s and early-1990s hits blending melodic hooks with virtuosic musicianship.
  • C. Zague
    Zague is a former Brazilian-Mexican footballer and prolific forward best known for his goal-scoring exploits with Club América and the Mexican national team in the 1990s.
  • D. Striker Lee
    Striker Lee is the nickname of Bunny Lee, a pioneering Jamaican record producer and key figure in the development of reggae and dub music.
  • E. Obertor
    Obertor is a historic city gate in Neuss, Germany, notable as one of the town’s best-preserved medieval fortification structures.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba224988190b7cccc42f35e54de completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f4971e08190821d6b5aeed05624 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.