Triple
T12613474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fearless |
E301186
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Emma Banville
Emma Banville is a determined human rights lawyer and the central protagonist of the British television drama series "Fearless."
|
E993162
|
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: Emma Banville | Statement: [Fearless, mainCharacter, Emma Banville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Banville Context triple: [Fearless, mainCharacter, Emma Banville]
-
A.
Madeleine Fitzgerald
Madeleine Fitzgerald is the daughter of American actress Madeleine Potter.
-
B.
Catherine Farrell
Catherine Farrell is known as the sister of Irish actor Colin Farrell.
-
C.
Elizabeth McLaughlin
Elizabeth McLaughlin is an American actress known for her roles in television series such as the psychological drama "Hand of God."
-
D.
Sabine de Barra
Sabine de Barra is the fictional, independently minded landscape designer portrayed by Kate Winslet in the period drama film "A Little Chaos."
-
E.
Madeleine Carroll
Madeleine Carroll was a British actress best known for her leading role in Alfred Hitchcock’s thriller "The 39 Steps" (1935), which made her one of the first major British female stars in Hollywood.
- 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: Emma Banville Triple: [Fearless, mainCharacter, Emma Banville]
Generated description
Emma Banville is a determined human rights lawyer and the central protagonist of the British television drama series "Fearless."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Banville Target entity description: Emma Banville is a determined human rights lawyer and the central protagonist of the British television drama series "Fearless."
-
A.
Madeleine Fitzgerald
Madeleine Fitzgerald is the daughter of American actress Madeleine Potter.
-
B.
Catherine Farrell
Catherine Farrell is known as the sister of Irish actor Colin Farrell.
-
C.
Elizabeth McLaughlin
Elizabeth McLaughlin is an American actress known for her roles in television series such as the psychological drama "Hand of God."
-
D.
Sabine de Barra
Sabine de Barra is the fictional, independently minded landscape designer portrayed by Kate Winslet in the period drama film "A Little Chaos."
-
E.
Madeleine Carroll
Madeleine Carroll was a British actress best known for her leading role in Alfred Hitchcock’s thriller "The 39 Steps" (1935), which made her one of the first major British female stars in Hollywood.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c2e5b88190a7cc16002b218d8a |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed1044c8190bbe881d32a4bf29e |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f6617479ec819080eac67abc9bc435 |
completed | May 2, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f662695a348190b9911a19dfc9e779 |
completed | May 2, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:12 p.m.