Triple

T18302852
Position Surface form Disambiguated ID Type / Status
Subject Mark Colodny E438397 entity
Predicate spouse P13 FINISHED
Object Jessica Rosenworcel 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: Jessica Rosenworcel | Statement: [Mark Colodny, spouse, Jessica Rosenworcel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Rosenworcel
Context triple: [Mark Colodny, spouse, Jessica Rosenworcel]
  • A. Jessica Rosenworcel chosen
    Jessica Rosenworcel is an American lawyer and policymaker who serves as the chair of the U.S. Federal Communications Commission, known for her advocacy on issues like net neutrality, broadband access, and closing the digital divide.
  • B. Tom Wheeler
    Tom Wheeler is an American screenwriter and producer best known for writing the animated film "Puss in Boots" and creating the TV series "The Cape."
  • C. Tom Wheeler
    Tom Wheeler is the young protagonist of the 1994 family comedy film "Milk Money," whose adventures begin when he and his friends pool their money to meet a woman from the city.
  • D. Jen Easterly
    Jen Easterly is a U.S. cybersecurity expert and former intelligence and military officer who leads national efforts to protect critical infrastructure and defend against cyber threats.
  • E. Megan Smith
    Megan Smith is a fictional protagonist named Megan Smith, likely central to the narrative and perspective of the work in which she appears.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5018176d481909536f50689f878d2 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.