Triple

T6710209
Position Surface form Disambiguated ID Type / Status
Subject Roy Lee E153119 entity
Predicate notableWork P4 FINISHED
Object The Ring E162866 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 Ring | Statement: [Roy Lee, notableWork, The Ring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Ring
Context triple: [Roy Lee, notableWork, The Ring]
  • A. The Ring chosen
    The Ring is a 2002 American supernatural horror film about a cursed videotape that kills anyone who watches it seven days later.
  • B. The Ring
    The Ring is the powerful and malevolent One Ring central to J.R.R. Tolkien’s Middle-earth legendarium, whose destruction becomes the primary quest of The Lord of the Rings.
  • C. The Ring Two
    The Ring Two is a 2005 American supernatural horror film and sequel to The Ring, continuing the story of a cursed videotape that brings death to those who watch it.
  • D. The Grudge
    The Grudge is a 2004 American supernatural horror film, adapted from the Japanese Ju-On series, known for its vengeful ghost curse and distinctive, unsettling atmosphere.
  • E. 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.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d107380481909cc761dc182834c1 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700906a9c81908a121db4291195d8 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.