Triple

T9385774
Position Surface form Disambiguated ID Type / Status
Subject Colony E225899 entity
Predicate executiveProducer P7225 FINISHED
Object Ryan J. Condal E796024 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: Ryan J. Condal | Statement: [Colony, executiveProducer, Ryan J. Condal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan J. Condal
Context triple: [Colony, executiveProducer, Ryan J. Condal]
  • A. Ryan J. Condal chosen
    Ryan J. Condal is an American screenwriter and producer best known for creating the TV series "Colony" and co-creating HBO's "House of the Dragon."
  • B. Aidan N. Gomez
    Aidan N. Gomez is a computer scientist and co-author of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture in deep learning.
  • C. Steve Condos
    Steve Condos was an influential American tap dancer renowned for his virtuosic footwork and contributions to rhythm tap.
  • D. Christopher J. Garcia
    Christopher J. Garcia is an American science fiction fan, writer, and fanzine editor known for his Hugo Award–winning work and co-editing the fanzine Journey Planet.
  • E. Jason M. Frierson
    Jason M. Frierson is an American attorney and former Nevada Assembly Speaker who serves as the United States Attorney for the District of Nevada.
  • 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_69ca842e9dcc8190a264119e683cfe04 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50d3964c8190b0353f56df755db8 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1078fbc8c8190ac27c5cb27793a9a completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:44 p.m.