Triple

T32579008
Position Surface form Disambiguated ID Type / Status
Subject Pleins feux sur l'assassin E832726 entity
Predicate hasTitleInLanguage P15390 FINISHED
Object Spotlight on a Murderer
Spotlight on a Murderer is a 1961 French mystery film directed by Georges Franju, known for its atmospheric blend of gothic suspense and darkly comic intrigue surrounding a series of murders in a secluded château.
E2014707 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: Spotlight on a Murderer | Statement: [Pleins feux sur l'assassin, hasTitleInLanguage, Spotlight on a Murderer]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Spotlight on a Murderer
Triple: [Pleins feux sur l'assassin, hasTitleInLanguage, Spotlight on a Murderer]
Generated description
Spotlight on a Murderer is a 1961 French mystery film directed by Georges Franju, known for its atmospheric blend of gothic suspense and darkly comic intrigue surrounding a series of murders in a secluded château.

Provenance (5 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_69f349289adc81909f4374a58ec35a39 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c667f4a881908bf678f99f056a0c completed May 3, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a348609b6b8819083ab1db2652aaee1 completed June 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a3486d538a0819085111e56e3d52e43 completed June 19, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a34886f9d5c8190852be44ccf6ea9fa completed June 19, 2026, 12:08 a.m.
Created at: May 1, 2026, 1:04 a.m.