Triple

T38184100
Position Surface form Disambiguated ID Type / Status
Subject Gregory Levasseur E1005258 entity
Predicate notableWork P4 FINISHED
Object The Hills Have Eyes
The Hills Have Eyes is a cult horror franchise, best known as a brutal 1977 Wes Craven film (and its later remake) about a stranded family terrorized by cannibalistic mutants in the desert.
E894414 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: The Hills Have Eyes | Statement: [Gregory Levasseur, notableWork, The Hills Have Eyes]
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: The Hills Have Eyes
Triple: [Gregory Levasseur, notableWork, The Hills Have Eyes]
Generated description
The Hills Have Eyes is a cult horror franchise, best known as a brutal 1977 Wes Craven film (and its later remake) about a stranded family terrorized by cannibalistic mutants in the desert.

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_69f76dbc22c481908139b694ffde7a0c completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb105cc188190bbc23c166563f67c completed May 7, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a419deaf65c8190bac7954b136c1141 completed June 28, 2026, 10:19 p.m.
NEDg Description generation batch_6a419e5d2bdc8190be3c9bef578f2126 completed June 28, 2026, 10:21 p.m.
NED2 Entity disambiguation (via description) batch_6a419eb254108190a1da591223143f73 completed June 28, 2026, 10:22 p.m.
Created at: May 3, 2026, 4:29 p.m.