Triple
T20427170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The White Countess |
E501035
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Madeleine Daly
Madeleine Daly is an actress known for her role in the period drama film "The White Countess."
|
E1441275
|
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: Madeleine Daly | Statement: [The White Countess, starredActor, Madeleine Daly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madeleine Daly Context triple: [The White Countess, starredActor, Madeleine Daly]
-
A.
Madeleine Madden
Madeleine Madden is an Australian actress known for her prominent role in the fantasy television series "The Wheel of Time" and for her work in both Australian film and television.
-
B.
Madeleine Fitzgerald
Madeleine Fitzgerald is the daughter of American actress Madeleine Potter.
-
C.
Emma Cunniffe
Emma Cunniffe is a British actress known for her work in television dramas, theatre, and film.
-
D.
Jessica Daly
Jessica Daly is the wife of former Irish rugby union star and coach Ronan O'Gara.
-
E.
Bairbre Dowling
Bairbre Dowling was an Irish actress known for her work in film, television, and theatre, including roles in productions such as "The Dead" and "Zardoz."
- 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: Madeleine Daly Triple: [The White Countess, starredActor, Madeleine Daly]
Generated description
Madeleine Daly is an actress known for her role in the period drama film "The White Countess."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madeleine Daly Target entity description: Madeleine Daly is an actress known for her role in the period drama film "The White Countess."
-
A.
Madeleine Madden
Madeleine Madden is an Australian actress known for her prominent role in the fantasy television series "The Wheel of Time" and for her work in both Australian film and television.
-
B.
Madeleine Fitzgerald
Madeleine Fitzgerald is the daughter of American actress Madeleine Potter.
-
C.
Emma Cunniffe
Emma Cunniffe is a British actress known for her work in television dramas, theatre, and film.
-
D.
Jessica Daly
Jessica Daly is the wife of former Irish rugby union star and coach Ronan O'Gara.
-
E.
Bairbre Dowling
Bairbre Dowling was an Irish actress known for her work in film, television, and theatre, including roles in productions such as "The Dead" and "Zardoz."
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba9700481909fa23493f98095d1 |
completed | April 20, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bafeede88190be35cac9cce47e21 |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bbc5d9dc8190a6c58039a27ba9ae |
completed | May 16, 2026, 6:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08bcbfc45881909af82e14f84ecd23 |
completed | May 16, 2026, 6:51 p.m. |
Created at: April 16, 2026, 11:30 a.m.