Triple

T16721630
Position Surface form Disambiguated ID Type / Status
Subject The Grudge E406361 entity
Predicate screenwriter P2831 FINISHED
Object Stephen Susco E529162 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: Stephen Susco | Statement: [The Grudge, screenwriter, Stephen Susco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Susco
Context triple: [The Grudge, screenwriter, Stephen Susco]
  • A. Stephen Susco chosen
    Stephen Susco is an American screenwriter, director, and producer best known for writing horror films such as "The Grudge" and its sequel.
  • B. Chris Sussman
    Chris Sussman is a British television producer and comedy executive known for overseeing and developing numerous UK sitcoms and comedy series.
  • C. Henry Ian Cusick
    Henry Ian Cusick is a Scottish-Peruvian actor best known for his roles on television series such as Lost and The 100.
  • D. Blake Soper
    Blake Soper, better known as Blake Sennett, is an American musician and former child actor best known as the guitarist and songwriter for the indie rock band Rilo Kiley.
  • E. Michael Sucsy
    Michael Sucsy is an American film and television director and screenwriter best known for his work on romantic dramas such as "The Vow" and the HBO film "Grey Gardens."
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38743750c81908a980372ad8f1a6a completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d41cb6c8190bfa164ad20f009d9 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.