Triple

T3407106
Position Surface form Disambiguated ID Type / Status
Subject Selina Meyer E71799 entity
Predicate fictionalBirthPlace P49113 FINISHED
Object Maryland E707 NE FINISHED

How this triple was built (3 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: Maryland | Statement: [Selina Meyer, fictionalBirthPlace, Maryland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maryland
Context triple: [Selina Meyer, fictionalBirthPlace, Maryland]
  • A. Maryland chosen
    Maryland is a Mid-Atlantic U.S. state known for its Chesapeake Bay shoreline, colonial history, and proximity to the nation’s capital.
  • B. Maryland and Delaware
    Maryland and Delaware are two neighboring Mid-Atlantic U.S. states on the East Coast, known respectively for the Chesapeake Bay and the city of Baltimore, and for its Atlantic beaches and role as the nation’s first state to ratify the Constitution.
  • C. Virginia
    Virginia is a U.S. state in the Mid-Atlantic and Southeastern regions, known for its pivotal role in American history, including being home to several early presidents and key Revolutionary and Civil War sites.
  • D. Virginia
    Virginia is a small community located within the town of Georgina in Ontario, Canada.
  • E. Virginie
    Virginie is the given name of Virginie Amélie Avegno Gautreau, the American-born Parisian socialite famously depicted in John Singer Sargent’s painting "Portrait of Madame X."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: fictionalBirthPlace
Context triple: [Selina Meyer, fictionalBirthPlace, Maryland]
  • A. hasFictionalTownBasedOn
    Indicates that a fictional town is modeled on, inspired by, or derived from a specific real-world town or location.
  • B. fictionalHeadquartersLocation
    Indicates the place where a fictional organization, group, or entity is based or has its main headquarters within a fictional context.
  • C. fictionalResidence
    Indicates that one entity is the place where another entity lives or is based within a fictional or imaginary context.
  • D. residesInFictionalLocation
    Indicates that an entity lives or is based in a location that is explicitly fictional or imaginary.
  • E. locatedInFictionalCountry
    Indicates that an entity exists or is situated within a country that is fictional rather than real.
  • F. None of above. chosen

Provenance (5 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8ede9c48190b13b0f5e7474e7fa completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360aded3c8190ab4ca37b4aead1df completed March 13, 2026, 12:56 a.m.
PD Predicate disambiguation batch_69adadfa73ac8190a163f93e88d217f8 completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adb21a437c81908bca88d5e123d744 completed March 8, 2026, 5:30 p.m.
Created at: March 8, 2026, 3:15 p.m.