Triple

T23070048
Position Surface form Disambiguated ID Type / Status
Subject Pamela Mason E575166 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object Lady Possessed NE NERFINISHED

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: Lady Possessed | Statement: [Pamela Mason, wroteScreenplayFor, Lady Possessed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lady Possessed
Context triple: [Pamela Mason, wroteScreenplayFor, Lady Possessed]
  • A. Lady Possessed chosen
    Lady Possessed is a mid-20th-century British novel by Pamela Mason, known as a dramatic tale of obsession and psychological turmoil.
  • B. The Possession
    The Possession is a 2012 supernatural horror film about a young girl haunted by a malevolent spirit trapped in an antique box, produced by Gary Lucchesi.
  • C. The Devil’s Mistress
    The Devil’s Mistress is a historical drama film centered on the life of Czech actress Lída Baarová and her relationship with Nazi propaganda minister Joseph Goebbels.
  • D. Possessed
    Possessed is a 1947 film noir melodrama starring Joan Crawford as a mentally unstable woman whose obsessive love leads to psychological breakdown and tragedy.
  • E. Possessed
    Possessed is an Intamin impulse roller coaster at Dorney Park & Wildwater Kingdom known for its U-shaped track, vertical spikes, and multiple magnetic launches.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a676c08190863c034663406018 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:56 p.m.