Triple

T10468868
Position Surface form Disambiguated ID Type / Status
Subject Jonas Maliki E246872 entity
Predicate associatedWith P37 FINISHED
Object Whispers unclear NED1 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: Whispers | Statement: [Jonas Maliki, associatedWith, Whispers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whispers
Context triple: [Jonas Maliki, associatedWith, Whispers]
  • A. Whispers
    Whispers is a bestselling horror-thriller novel by Dean Koontz that blends psychological suspense with supernatural overtones.
  • B. A Whisper
    "A Whisper" is a subdued, atmospheric track by Coldplay from their acclaimed album "A Rush of Blood to the Head," noted for its layered guitars and introspective mood.
  • C. Whisper
    Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
  • D. Whisper
    Whisper is a feminine hygiene brand of sanitary napkins and related products owned by Procter & Gamble and sold in various international markets.
  • E. Whisper
    Whisper is a 2007 supernatural horror film in which a botched kidnapping leads to terrifying events surrounding a mysterious young boy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092ef810819093a4d1df83aeac09 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ffdfd988190a37b3444d096e678 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.