Triple

T32194319
Position Surface form Disambiguated ID Type / Status
Subject Steinhart E822361 entity
Predicate appearsIn P795 FINISHED
Object The Grave
The Grave is a 1996 American neo-noir thriller film involving a pair of ex-convicts on a dangerous quest for a legendary buried treasure.
E2007119 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 Grave | Statement: [Steinhart, appearsIn, The Grave]
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 Grave
Triple: [Steinhart, appearsIn, The Grave]
Generated description
The Grave is a 1996 American neo-noir thriller film involving a pair of ex-convicts on a dangerous quest for a legendary buried treasure.

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_69f3490819cc81909bae1f8ce99423c5 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bb35e9a08190bb96bb25c32e0812 completed May 3, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34665e47f081909e93c04b75d7b7ea completed June 18, 2026, 9:42 p.m.
NEDg Description generation batch_6a34674302f081908ce094e58ee8360c completed June 18, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_6a34682ebe448190b88c760af0af9dfa completed June 18, 2026, 9:50 p.m.
Created at: May 1, 2026, 12:35 a.m.