Triple
T13516000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Angel at My Table |
E322760
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Alexia Keogh
Alexia Keogh is an actress best known for her role in the acclaimed New Zealand biographical film "An Angel at My Table."
|
E1073385
|
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: Alexia Keogh | Statement: [An Angel at My Table, stars, Alexia Keogh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexia Keogh Context triple: [An Angel at My Table, stars, Alexia Keogh]
-
A.
Ellie Keegan
Ellie Keegan is the central protagonist of the film "Someone to Watch Over Me," around whom the story’s suspenseful and emotional events revolve.
-
B.
Rebecca McGuinness
Rebecca McGuinness is known as the wife of renowned English motorcycle road racer John McGuinness.
-
C.
Erin Dignam
Erin Dignam is an American filmmaker and screenwriter known for her collaborations with director Sean Penn and for writing character-driven drama films.
-
D.
Natalie O'Brien
Natalie O'Brien is best known as the wife of Kenyan-British singer-songwriter and whistling entertainer Roger Whittaker.
-
E.
Caitlin Buckley
Caitlin Buckley is known as the daughter of American satirical novelist and political commentator Christopher Buckley.
- 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: Alexia Keogh Triple: [An Angel at My Table, stars, Alexia Keogh]
Generated description
Alexia Keogh is an actress best known for her role in the acclaimed New Zealand biographical film "An Angel at My Table."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alexia Keogh Target entity description: Alexia Keogh is an actress best known for her role in the acclaimed New Zealand biographical film "An Angel at My Table."
-
A.
Ellie Keegan
Ellie Keegan is the central protagonist of the film "Someone to Watch Over Me," around whom the story’s suspenseful and emotional events revolve.
-
B.
Rebecca McGuinness
Rebecca McGuinness is known as the wife of renowned English motorcycle road racer John McGuinness.
-
C.
Erin Dignam
Erin Dignam is an American filmmaker and screenwriter known for her collaborations with director Sean Penn and for writing character-driven drama films.
-
D.
Natalie O'Brien
Natalie O'Brien is best known as the wife of Kenyan-British singer-songwriter and whistling entertainer Roger Whittaker.
-
E.
Caitlin Buckley
Caitlin Buckley is known as the daughter of American satirical novelist and political commentator Christopher Buckley.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac7a1ee88190951de590a4a07d6f |
completed | May 6, 2026, 9:02 p.m. |
| NEDg | Description generation | batch_69fbad35be6c8190aa329fa947cbdcd9 |
completed | May 6, 2026, 9:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbae42ef2c8190b653d95de94042bc |
completed | May 6, 2026, 9:10 p.m. |
Created at: April 9, 2026, 9:44 p.m.