Triple

T18441522
Position Surface form Disambiguated ID Type / Status
Subject Mary Jo Keenen E450538 entity
Predicate notableWork P4 FINISHED
Object City 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: City | Statement: [Mary Jo Keenen, notableWork, City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City
Context triple: [Mary Jo Keenen, notableWork, City]
  • A. City chosen
    "City" is a classic science fiction fix-up novel by Clifford D. Simak, renowned for its poignant exploration of humanity’s decline and the rise of intelligent dogs in a far-future Earth.
  • B. City
    City is a monumental land art installation by American artist Michael Heizer, consisting of vast concrete and earth structures spread across the Nevada desert.
  • C. City
    City is the commonly used short name for Bradford City A.F.C., an English professional football club based in Bradford, West Yorkshire.
  • D. CITY
    CITY is the radio callsign used by KLM Cityhopper, the regional subsidiary of Dutch airline KLM.
  • E. City Life
    City Life is a mural artwork, likely depicting scenes of urban living and the energy of city environments.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c10a86c819091196968b648fc92 completed April 19, 2026, 6:16 p.m.
Created at: April 10, 2026, 11:30 a.m.