Triple

T18548695
Position Surface form Disambiguated ID Type / Status
Subject Tiffany Stewart E453307 entity
Predicate spouseEmployer P26554 FINISHED
Object Shark Tank NE NERFINISHED

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: Shark Tank | Statement: [Tiffany Stewart, spouseEmployer, Shark Tank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shark Tank
Context triple: [Tiffany Stewart, spouseEmployer, Shark Tank]
  • A. Shark Tank chosen
    Shark Tank is an American reality television series in which aspiring entrepreneurs pitch their business ideas to a panel of wealthy investors, or "sharks," in hopes of securing funding.
  • B. The Shark Tank
    The Shark Tank is the popular nickname for San Jose's indoor arena, best known as the home venue of the NHL's San Jose Sharks.
  • C. Dragon’s Den
    Dragon’s Den is a legendary cave beneath Wawel Hill in Kraków, Poland, famed in folklore as the lair of the Wawel Dragon and now a popular tourist attraction.
  • D. StartUp (TV series)
    StartUp is a crime drama television series that follows a group of unlikely partners who launch a controversial digital currency startup amid the dangerous world of organized crime and corrupt law enforcement.
  • E. Undercover Boss
    Undercover Boss is a reality television series in which high-level executives go incognito within their own companies to observe operations and employees firsthand.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534be2298819095f637065fc2724e completed April 19, 2026, 8:02 p.m.
Created at: April 10, 2026, 11:38 a.m.