Triple
T13516001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Angel at My Table |
E322760
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Karen Fergusson
Karen Fergusson is an actress known for her role in the acclaimed New Zealand biographical drama film "An Angel at My Table."
|
E1158189
|
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: Karen Fergusson | Statement: [An Angel at My Table, stars, Karen Fergusson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Fergusson Context triple: [An Angel at My Table, stars, Karen Fergusson]
-
A.
Julie Ferguson
Julie Ferguson is the wife of the late American actor and comedian Charles Grodin.
-
B.
Lynn Ferguson
Lynn Ferguson is a Scottish writer, comedian, and actress best known for voicing the character Mac in the animated film "Chicken Run."
-
C.
Lisa Baird
Lisa Baird is an American sports executive who served as commissioner of the National Women's Soccer League (NWSL).
-
D.
Kathryn Morris
Kathryn Morris is an American actress best known for her lead role as Detective Lilly Rush on the television series "Cold Case."
-
E.
Gillian Foster
Gillian Foster is a central character in the TV series "Lie to Me," a psychologist and partner in the deception-detection firm Lightman Group.
- 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: Karen Fergusson Triple: [An Angel at My Table, stars, Karen Fergusson]
Generated description
Karen Fergusson is an actress known for her role in the acclaimed New Zealand biographical drama film "An Angel at My Table."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Fergusson Target entity description: Karen Fergusson is an actress known for her role in the acclaimed New Zealand biographical drama film "An Angel at My Table."
-
A.
Julie Ferguson
Julie Ferguson is the wife of the late American actor and comedian Charles Grodin.
-
B.
Lynn Ferguson
Lynn Ferguson is a Scottish writer, comedian, and actress best known for voicing the character Mac in the animated film "Chicken Run."
-
C.
Lisa Baird
Lisa Baird is an American sports executive who served as commissioner of the National Women's Soccer League (NWSL).
-
D.
Kathryn Morris
Kathryn Morris is an American actress best known for her lead role as Detective Lilly Rush on the television series "Cold Case."
-
E.
Gillian Foster
Gillian Foster is a central character in the TV series "Lie to Me," a psychologist and partner in the deception-detection firm Lightman Group.
- 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_69ff2189c1cc819080dc296b17e42374 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff2578f4688190971bf2c5dcedd8c3 |
completed | May 9, 2026, 12:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff25d2d13c8190abeb3ea08b876f23 |
completed | May 9, 2026, 12:17 p.m. |
Created at: April 9, 2026, 9:44 p.m.