Triple

T30318939
Position Surface form Disambiguated ID Type / Status
Subject The Amityville Horror (2005 film) E771133 entity
Predicate character P662 FINISHED
Object Michael Lutz
Michael Lutz is a character in the 2005 horror film "The Amityville Horror," depicted as one of the children affected by the supernatural events in the haunted Lutz family home.
E1986326 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: Michael Lutz | Statement: [The Amityville Horror (2005 film), character, Michael Lutz]
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: Michael Lutz
Triple: [The Amityville Horror (2005 film), character, Michael Lutz]
Generated description
Michael Lutz is a character in the 2005 horror film "The Amityville Horror," depicted as one of the children affected by the supernatural events in the haunted Lutz family home.

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_69f22489ee8481909344649bfbb92e83 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68196ead48190a456958ce06c4c25 completed May 2, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2eb11658508190a5e92e9fb644127c completed June 14, 2026, 1:48 p.m.
NEDg Description generation batch_6a2eb2a1118c8190a53358c3bd85f79c completed June 14, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a2eb2f4a710819098442ba2198aecf6 completed June 14, 2026, 1:56 p.m.
Created at: April 29, 2026, 7:51 p.m.