Triple

T13541451
Position Surface form Disambiguated ID Type / Status
Subject Omri Katz E323394 entity
Predicate portrayedIn P626 FINISHED
Object Eerie, Indiana E1046754 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: Eerie, Indiana | Statement: [Omri Katz, portrayedIn, Eerie, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eerie, Indiana
Context triple: [Omri Katz, portrayedIn, Eerie, Indiana]
  • A. Eerie, Indiana chosen
    Eerie, Indiana is a 1990s cult-classic American television series blending mystery, comedy, and supernatural elements in a small, bizarre Midwestern town.
  • B. The Fog
    The Fog is a 1980 supernatural horror film directed by John Carpenter, centered on a coastal town haunted by vengeful ghosts who return shrouded in an eerie, glowing mist.
  • C. Spooky Gulch
    Spooky Gulch is a famously narrow and twisting slot canyon in southern Utah known for its tight passages and dramatic sandstone walls.
  • D. Palookaville
    Palookaville is a 2004 studio album by British DJ and producer Norman Cook, better known as Fatboy Slim, blending big beat, electronic, and alternative influences.
  • E. Palookaville
    Palookaville is a 1995 American crime-comedy film about three inept friends who attempt a series of small-time robberies that go humorously wrong.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f84935c8190b9e41f44140066e5 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:45 p.m.