Triple
T7594858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Living Daylights |
E179832
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Caroline Bliss
Caroline Bliss is a British actress best known for playing Miss Moneypenny in the James Bond films of the late 1980s.
|
E676705
|
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: Caroline Bliss | Statement: [The Living Daylights, starring, Caroline Bliss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caroline Bliss Context triple: [The Living Daylights, starring, Caroline Bliss]
-
A.
Caroline Smith
Caroline Smith is known as the wife of American television executive and entrepreneur Julian Sinclair Smith.
-
B.
Caroline Ford
Caroline Ford is a British actress best known for her role in the fantasy television series "Carnival Row."
-
C.
Caroline Ross
Caroline Ross is a film editor known for her work on the science fiction movie "Starship Troopers."
-
D.
Caroline Blakiston
Caroline Blakiston is a British actress known for her work in film and television, including roles in productions such as the Star Wars franchise and various British dramas.
-
E.
Caroline Fall
Caroline Fall was a daughter of Albert B. Fall, the U.S. Secretary of the Interior implicated in the Teapot Dome scandal.
- 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: Caroline Bliss Triple: [The Living Daylights, starring, Caroline Bliss]
Generated description
Caroline Bliss is a British actress best known for playing Miss Moneypenny in the James Bond films of the late 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caroline Bliss Target entity description: Caroline Bliss is a British actress best known for playing Miss Moneypenny in the James Bond films of the late 1980s.
-
A.
Caroline Smith
Caroline Smith is known as the wife of American television executive and entrepreneur Julian Sinclair Smith.
-
B.
Caroline Ford
Caroline Ford is a British actress best known for her role in the fantasy television series "Carnival Row."
-
C.
Caroline Ross
Caroline Ross is a film editor known for her work on the science fiction movie "Starship Troopers."
-
D.
Caroline Blakiston
Caroline Blakiston is a British actress known for her work in film and television, including roles in productions such as the Star Wars franchise and various British dramas.
-
E.
Caroline Fall
Caroline Fall was a daughter of Albert B. Fall, the U.S. Secretary of the Interior implicated in the Teapot Dome scandal.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9bbcd8081909a229d7faa2ffdc8 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86843a7808190a4c1d3c33a7441ed |
completed | March 28, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_69c869dd249c81908ffa28d301ec5882 |
completed | March 28, 2026, 11:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c86a1f1bfc8190b25597a030613e08 |
completed | March 28, 2026, 11:54 p.m. |
Created at: March 27, 2026, 3:53 p.m.