Triple

T7817738
Position Surface form Disambiguated ID Type / Status
Subject Staten Island Chuck E181053 entity
Predicate hasCommonName P570 FINISHED
Object Staten Island Chuck E181053 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: Staten Island Chuck | Statement: [Staten Island Chuck, hasCommonName, Staten Island Chuck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Staten Island Chuck
Context triple: [Staten Island Chuck, hasCommonName, Staten Island Chuck]
  • A. Staten Island Chuck chosen
    Staten Island Chuck is the groundhog at the Staten Island Zoo known for making annual Groundhog Day weather predictions in New York City.
  • B. Lobster Johnson
    Lobster Johnson is a pulp-style vigilante superhero from Mike Mignola’s Hellboy universe, known for his fiery claw symbol and battles against gangsters and occult threats in 1930s America.
  • C. Chauncey
    Chauncey is a small village located in Athens County in the southeastern region of Ohio, United States.
  • D. Chauncey
    Chauncey is a masculine given name most famously borne by former NBA player and coach Chauncey Billups.
  • E. Quincy Magoo
    Quincy Magoo is a classic cartoon character portrayed as a wealthy, stubborn, and extremely nearsighted older man whose visual impairments lead to humorous misadventures.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf9708bdc8190a5154efe0f96f458 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb1488a2e48190924f44b46f925d87 completed March 31, 2026, 12:25 a.m.
Created at: March 30, 2026, 4:40 p.m.