Triple

T15603804
Position Surface form Disambiguated ID Type / Status
Subject Drew Holt E375100 entity
Predicate settingCityInFiction P48498 FINISHED
Object Berkeley E22332 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: Berkeley | Statement: [Drew Holt, settingCityInFiction, Berkeley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkeley
Context triple: [Drew Holt, settingCityInFiction, Berkeley]
  • A. Berkeley chosen
    Berkeley is a culturally vibrant and politically progressive city in California’s San Francisco Bay Area, known for its historic association with higher education and social activism.
  • B. Berkeley
    Berkeley is a small village in Providence County, Rhode Island, known primarily as a local residential community within the town of Cumberland.
  • C. Berkeley
    Berkeley is a suburb in the Wollongong region of New South Wales, Australia, known for its residential character near Lake Illawarra.
  • D. Berkeley
    Berkeley is a historic English surname associated with notable aristocratic families and figures in British history.
  • E. Berkeley
    Berkeley is a historic market town in Gloucestershire, England, best known for Berkeley Castle and its association with the scientist Edward Jenner.
  • 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: settingCityInFiction
Context triple: [Drew Holt, settingCityInFiction, Berkeley]
  • A. cityOfFictionalActivity chosen
    Indicates that a fictional activity, event, or storyline takes place in the specified city.
  • B. setInFictionalLocation
    Indicates that an event, story, or narrative takes place within a fictional or imagined location rather than a real-world setting.
  • C. basedInFictionalSetting
    Indicates that an entity’s primary location or setting exists within a fictional or imaginary world rather than the real world.
  • D. cityOfFictionalResidence
    Indicates that a fictional character or entity resides in, or is associated with living in, a particular city within a narrative or fictional context.
  • E. setInFictionalOrRealLocation
    Indicates that something (such as a story, event, or scene) takes place within a specified location, whether that location is real or fictional.
  • F. None of above.

Provenance (4 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e6399d88190b2c3e781667666d4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d1607c8190a42dc664abe45b32 completed May 9, 2026, 3:46 p.m.
PD Predicate disambiguation batch_69deda844af081909e658ebc9d9b403d completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:12 a.m.