Triple
T10396474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humans |
E245033
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Emily Berrington
Emily Berrington is a British actress best known for her role as the synth Niska in the television series "Humans."
|
E882946
|
NE FINISHED |
How this triple was built (4 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: Emily Berrington | Statement: [Humans, stars, Emily Berrington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Berrington Context triple: [Humans, stars, Emily Berrington]
-
A.
Lisa Bryer
Lisa Bryer is a British film producer best known for her work on acclaimed independent films, including the award-winning drama "The Last King of Scotland."
-
B.
Emily Sargent
Emily Sargent was the wife of 19th-century Anglican bishop and prominent public figure Samuel Wilberforce.
-
C.
Emily Sargent
Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
-
D.
Emily Carmichael
Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
-
E.
Elizabeth Prall
Elizabeth Prall was an American bookseller and literary figure best known for her marriage to modernist writer Sherwood Anderson.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Emily Berrington Triple: [Humans, stars, Emily Berrington]
Generated description
Emily Berrington is a British actress best known for her role as the synth Niska in the television series "Humans."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emily Berrington Target entity description: Emily Berrington is a British actress best known for her role as the synth Niska in the television series "Humans."
-
A.
Lisa Bryer
Lisa Bryer is a British film producer best known for her work on acclaimed independent films, including the award-winning drama "The Last King of Scotland."
-
B.
Emily Sargent
Emily Sargent was the wife of 19th-century Anglican bishop and prominent public figure Samuel Wilberforce.
-
C.
Emily Sargent
Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
-
D.
Emily Carmichael
Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
-
E.
Elizabeth Prall
Elizabeth Prall was an American bookseller and literary figure best known for her marriage to modernist writer Sherwood Anderson.
- F. None of above. chosen
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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9cf79348190975d6c1791e3b621 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de21d85ee08190adfab9926fea1709 |
completed | April 14, 2026, 11:15 a.m. |
| NEDg | Description generation | batch_69de25d25474819081402b75ef7492f6 |
completed | April 14, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2808244c8190bdb2d4d49f30e0d7 |
completed | April 14, 2026, 11:42 a.m. |
Created at: April 6, 2026, 12:06 p.m.