Triple

T31184294
Position Surface form Disambiguated ID Type / Status
Subject Ian McNeice E794992 entity
Predicate notableWork P4 FINISHED
Object Dune (1992 miniseries)
Dune (1992 miniseries) is a television adaptation of Frank Herbert’s science fiction novel "Dune," dramatizing the political and mystical struggles over the desert planet Arrakis.
 E1956323 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: Dune (1992 miniseries) | Statement: [Ian McNeice, notableWork, Dune (1992 miniseries)]
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: Dune (1992 miniseries)
Triple: [Ian McNeice, notableWork, Dune (1992 miniseries)]
Generated description
Dune (1992 miniseries) is a television adaptation of Frank Herbert’s science fiction novel "Dune," dramatizing the political and mystical struggles over the desert planet Arrakis.

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_69f224d675d08190957198068e440422 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6991005748190b82d61279999b59d completed May 3, 2026, 12:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e16e6ac8190a349644755882973 completed June 11, 2026, 2:31 a.m.
NEDg Description generation batch_6a2a57085af081908d0ab468fbd330d3 completed June 11, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_6a2a58b13ec48190b5c09fe456bae877 completed June 11, 2026, 6:41 a.m.
Created at: April 29, 2026, 9:08 p.m.