Triple

T6513076
Position Surface form Disambiguated ID Type / Status
Subject Tamala Jones E148183 entity
Predicate notableWork P4 FINISHED
Object Castle E178779 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: Castle | Statement: [Tamala Jones, notableWork, Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle
Context triple: [Tamala Jones, notableWork, Castle]
  • A. Castle chosen
    Castle is an American crime-comedy-drama television series that follows mystery novelist Richard Castle as he assists the NYPD in solving unusual homicide cases.
  • B. Haunted Castle
    Haunted Castle is a dark ride attraction at the Santa Cruz Beach Boardwalk that takes visitors through a series of spooky, haunted-themed scenes and effects.
  • C. Castle ward
    Castle ward is an electoral ward and local administrative area within the city of Swansea in Wales.
  • D. Leap Castle
    Leap Castle is a historic Irish fortress in County Offaly, reputed to be one of the most haunted castles in the world.
  • E. Castle Rising
    Castle Rising is a historic village and former parliamentary borough in Norfolk, England, known for its medieval castle and past representation in the UK Parliament.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f3db330819092503af4fb0649ea completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb69ca0c8190954dbe6c627981f3 completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:44 p.m.