Triple

T32896567
Position Surface form Disambiguated ID Type / Status
Subject Black Mirror: Be Right Back E841489 entity
Predicate characterPortrayedBy P1507 FINISHED
Object Ash – Domhnall Gleeson
Ash is a character from the "Black Mirror" episode "Be Right Back," portrayed by Domhnall Gleeson as a man whose digital recreation explores themes of grief, identity, and the human reliance on technology.
E2028845 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: Ash – Domhnall Gleeson | Statement: [Black Mirror: Be Right Back, characterPortrayedBy, Ash – Domhnall Gleeson]
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: Ash – Domhnall Gleeson
Triple: [Black Mirror: Be Right Back, characterPortrayedBy, Ash – Domhnall Gleeson]
Generated description
Ash is a character from the "Black Mirror" episode "Be Right Back," portrayed by Domhnall Gleeson as a man whose digital recreation explores themes of grief, identity, and the human reliance on technology.

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_69f34945ae408190b72d8118c83beb77 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d074751c8190ac5bce9d70c9c5c8 completed May 3, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34c68e7bb081909724527bfdb2df35 completed June 19, 2026, 4:33 a.m.
NEDg Description generation batch_6a34c8226bac81909eed319bf6b97197 completed June 19, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_6a34c8ee94288190a861ceefa0941d53 completed June 19, 2026, 4:43 a.m.
Created at: May 1, 2026, 1:18 a.m.