Triple
T10682498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Gifted Man |
E251791
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Anna Paul
Anna Paul is a central character in the television drama "A Gifted Man," around whom much of the show's emotional and narrative development revolves.
|
E881482
|
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: Anna Paul | Statement: [A Gifted Man, mainCharacter, Anna Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Paul Context triple: [A Gifted Man, mainCharacter, Anna Paul]
-
A.
Anna Popplewell
Anna Popplewell is an English actress best known for playing Susan Pevensie in the film adaptations of C.S. Lewis's "The Chronicles of Narnia."
-
B.
Paula Hart
Paula Hart is a television producer best known for her work on family-oriented series and films, including overseeing the popular sitcom "Sabrina the Teenage Witch."
-
C.
Paula Milne
Paula Milne is a British screenwriter known for her acclaimed work on television dramas and literary adaptations.
-
D.
Anna Comarella
Anna Comarella is an Italian cross-country skier who has represented Italy in major international competitions, including the Winter Olympics and World Cup events.
-
E.
Larissa Howard
Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
- 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: Anna Paul Triple: [A Gifted Man, mainCharacter, Anna Paul]
Generated description
Anna Paul is a central character in the television drama "A Gifted Man," around whom much of the show's emotional and narrative development revolves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Paul Target entity description: Anna Paul is a central character in the television drama "A Gifted Man," around whom much of the show's emotional and narrative development revolves.
-
A.
Anna Popplewell
Anna Popplewell is an English actress best known for playing Susan Pevensie in the film adaptations of C.S. Lewis's "The Chronicles of Narnia."
-
B.
Paula Hart
Paula Hart is a television producer best known for her work on family-oriented series and films, including overseeing the popular sitcom "Sabrina the Teenage Witch."
-
C.
Paula Milne
Paula Milne is a British screenwriter known for her acclaimed work on television dramas and literary adaptations.
-
D.
Anna Comarella
Anna Comarella is an Italian cross-country skier who has represented Italy in major international competitions, including the Winter Olympics and World Cup events.
-
E.
Larissa Howard
Larissa Howard is known as the daughter of British military historian and politician Michael Howard.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacf1a43c8190869f4a64f9d6a26c |
completed | April 12, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69dbaeb211088190a9118c71918584e5 |
completed | April 12, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dbaf7c999c819097a8cdf5bd82f648 |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 8, 2026, 9:10 p.m.