Triple

T21814874
Position Surface form Disambiguated ID Type / Status
Subject Joseph King Fenno Mansfield Goodrich E538578 entity
Predicate givenName P17 FINISHED
Object Fenno 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: Fenno | Statement: [Joseph King Fenno Mansfield Goodrich, givenName, Fenno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fenno
Context triple: [Joseph King Fenno Mansfield Goodrich, givenName, Fenno]
  • A. Fenno chosen
    Fenno is a family surname of English origin borne by individuals such as Olive Augusta Fenno Alger.
  • B. Fargus
    Fargus is a central playable character in the comedic fantasy action-platformer game Pandemonium!, known for his quirky personality and magical abilities.
  • C. Felindre
    Felindre is a small rural village in Wales situated within the City and County of Swansea, known for its scenic surroundings and traditional community character.
  • D. Frosta
    Frosta is a rural municipality and peninsula in Trøndelag county, Norway, known for its fertile farmland and historical significance as a medieval assembly site.
  • E. Finnoo
    Finnoo is a district in Espoo, Finland, known for its coastal location and modern residential development, and is served by the Helsinki region’s metro network.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc99bbc8190bf074930f361af7d completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:54 p.m.