Triple
T13147958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amulet |
E312388
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object |
Laura Bellingham
Laura Bellingham is a cinematographer known for her work on the fantasy adventure film "Amulet."
|
E1026852
|
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: Laura Bellingham | Statement: [Amulet, cinematography, Laura Bellingham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Bellingham Context triple: [Amulet, cinematography, Laura Bellingham]
-
A.
Elizabeth Berrington
Elizabeth Berrington is a British actress known for her work in television, film, and theatre, including prominent roles in series such as The Syndicate.
-
B.
Elizabeth Scott
Elizabeth Scott was a Scottish noblewoman of the influential Scott family, daughter of Francis Scott, 2nd Earl of Buccleuch.
-
C.
Belinda Bromilow
Belinda Bromilow is an Australian actress known for her work in television, film, and theatre, including a prominent role in the satirical historical series "The Great."
-
D.
Emily Lloyd
Emily Lloyd is a British actress best known for her acclaimed breakthrough role in the 1987 film "Wish You Were Here."
-
E.
Elizabeth Bromley
Elizabeth Bromley was the wife of the Victorian painter Ford Madox Brown and a figure associated with his early family life and artistic circle.
- 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: Laura Bellingham Triple: [Amulet, cinematography, Laura Bellingham]
Generated description
Laura Bellingham is a cinematographer known for her work on the fantasy adventure film "Amulet."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Bellingham Target entity description: Laura Bellingham is a cinematographer known for her work on the fantasy adventure film "Amulet."
-
A.
Elizabeth Berrington
Elizabeth Berrington is a British actress known for her work in television, film, and theatre, including prominent roles in series such as The Syndicate.
-
B.
Elizabeth Scott
Elizabeth Scott was a Scottish noblewoman of the influential Scott family, daughter of Francis Scott, 2nd Earl of Buccleuch.
-
C.
Belinda Bromilow
Belinda Bromilow is an Australian actress known for her work in television, film, and theatre, including a prominent role in the satirical historical series "The Great."
-
D.
Emily Lloyd
Emily Lloyd is a British actress best known for her acclaimed breakthrough role in the 1987 film "Wish You Were Here."
-
E.
Elizabeth Bromley
Elizabeth Bromley was the wife of the Victorian painter Ford Madox Brown and a figure associated with his early family life and artistic circle.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5da0f708190b848601e571a9fff |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f7c97c688190b359cd240ea0aa28 |
completed | May 3, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f85149cc8190adf68387475d3286 |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 9, 2026, 9:10 p.m.