Triple

T19738634
Position Surface form Disambiguated ID Type / Status
Subject Eamonn Walker E474053 entity
Predicate notableWork P4 FINISHED
Object The Governor E1087242 NE FINISHED

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: The Governor | Statement: [Eamonn Walker, notableWork, The Governor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Governor
Context triple: [Eamonn Walker, notableWork, The Governor]
  • A. The Governor
    The Governor is a ruthless and manipulative leader of the fortified town of Woodbury in The Walking Dead, known for his brutality and descent into madness.
  • B. The Governor chosen
    The Governor is a British television drama series starring Janet McTeer as a prison governor navigating complex moral and institutional challenges within the UK penal system.
  • C. Guber
    Guber is a surname most prominently associated with American film producer and executive Peter Guber.
  • D. Governor Moonbeam
    Governor Moonbeam is the long-standing nickname of Jerry Brown, the unconventional and four-term former governor of California known for his progressive politics and sometimes eccentric image.
  • E. Governor Generoso
    Governor Generoso is a coastal municipality in the province of Davao Oriental in the Philippines, known for its scenic beaches and marine attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515f6efc8190a3da113847464399 completed April 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4fba58c819090fdfb319096aa0a completed May 16, 2026, 12:06 a.m.
Created at: April 10, 2026, 1:47 p.m.