Triple

T11537878
Position Surface form Disambiguated ID Type / Status
Subject The Aggie Network E273594 entity
Predicate hasNotableTradition P13220 FINISHED
Object Silver Taps E53051 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: Silver Taps | Statement: [The Aggie Network, hasNotableTradition, Silver Taps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Taps
Context triple: [The Aggie Network, hasNotableTradition, Silver Taps]
  • A. Silver Taps chosen
    Silver Taps is a solemn Texas A&M University tradition honoring deceased students with a nighttime campus ceremony featuring a bugle call and silent remembrance.
  • B. On Tap
    On Tap is a blues album by renowned Chicago harmonica player and singer Junior Wells, showcasing his electric blues style and gritty vocal delivery.
  • C. Silver Night
    Silver Night is a character from the whimsical children's novel "The Land of Green Ginger," known for inhabiting its fantastical, fairy-tale world.
  • D. Silver Spoons
    Silver Spoons is an American 1980s sitcom about a wealthy, immature toy-company owner and his young son learning to live together, which helped launch the early career of actor Jason Bateman.
  • E. Silver Reel
    Silver Reel is a film production and financing company known for backing a range of international independent and prestige films.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839cdf688190ae75c0e6fece8e33 completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6859b14e08190b8173a4b5dc8c2c5 completed April 20, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:37 p.m.