Triple

T7436877
Position Surface form Disambiguated ID Type / Status
Subject Gattaca E171637 entity
Predicate starring P1507 FINISHED
Object Loren Dean E502391 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: Loren Dean | Statement: [Gattaca, starring, Loren Dean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loren Dean
Context triple: [Gattaca, starring, Loren Dean]
  • A. Loren Dean chosen
    Loren Dean is an American actor known for his roles in films such as "Mumford," "Enemy of the State," and "Gattaca."
  • B. Dale Eunson
    Dale Eunson was an American writer and magazine editor best known for his short stories and screenwriting work in mid-20th-century Hollywood.
  • C. Gordon Dean
    Gordon Dean was an American lawyer and government official best known for leading U.S. nuclear policy and weapons development as chairman of the Atomic Energy Commission in the early Cold War era.
  • D. Dennis Reynolds
    Dennis Reynolds is a narcissistic, manipulative co-owner of Paddy’s Pub and one of the main characters in the dark comedy series "It's Always Sunny in Philadelphia."
  • E. Greg Stillson
    Greg Stillson is the ambitious, populist politician and primary antagonist in Stephen King’s novel "The Dead Zone," whose rise to power is foreseen to lead to catastrophic consequences.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f349399c8190b46d5882ece2e73a completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f23afb48190ae57fb952b2721c3 completed March 28, 2026, 6:34 p.m.
Created at: March 27, 2026, 3:13 p.m.