Triple
T20449024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Killing of Angel Street |
E501596
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Alexandra Fowler
Alexandra Fowler is an Australian actress best known for her work in film and television, particularly during the late 20th century.
|
E1478209
|
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: Alexandra Fowler | Statement: [The Killing of Angel Street, castMember, Alexandra Fowler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandra Fowler Context triple: [The Killing of Angel Street, castMember, Alexandra Fowler]
-
A.
Alexandra Byrne
Alexandra Byrne is an acclaimed British costume designer known for her intricate period costumes and award-winning work in both film and theatre.
-
B.
Alexandra Smith
Alexandra Smith is a television producer best known for her executive production work on the true-crime series "Dirty John."
-
C.
Heather Faulkiner
Heather Faulkiner is known as the wife of prominent American sportscaster Marv Albert.
-
D.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
-
E.
Larissa Howard
Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
- 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: Alexandra Fowler Triple: [The Killing of Angel Street, castMember, Alexandra Fowler]
Generated description
Alexandra Fowler is an Australian actress best known for her work in film and television, particularly during the late 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alexandra Fowler Target entity description: Alexandra Fowler is an Australian actress best known for her work in film and television, particularly during the late 20th century.
-
A.
Alexandra Byrne
Alexandra Byrne is an acclaimed British costume designer known for her intricate period costumes and award-winning work in both film and theatre.
-
B.
Alexandra Smith
Alexandra Smith is a television producer best known for her executive production work on the true-crime series "Dirty John."
-
C.
Heather Faulkiner
Heather Faulkiner is known as the wife of prominent American sportscaster Marv Albert.
-
D.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
-
E.
Larissa Howard
Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfffae4819086c727f4143c2737 |
completed | April 20, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09a5a2d128819081763172f6214e27 |
completed | May 17, 2026, 11:25 a.m. |
| NEDg | Description generation | batch_6a09a63fb6988190922458ad9e7b8a3a |
completed | May 17, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09a696eabc8190936063b841039053 |
completed | May 17, 2026, 11:29 a.m. |
Created at: April 16, 2026, 11:32 a.m.