Triple
T19043434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashley Scott |
E466066
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Emma
Emma is a fictional character portrayed by American actress Ashley Scott, known for her roles in film and television.
|
E1356221
|
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 | Statement: [Ashley Scott, playedCharacter, Emma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Context triple: [Ashley Scott, playedCharacter, Emma]
-
A.
Emma
Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
-
B.
Emma
"Emma" is a 2009 British television miniseries adaptation of Jane Austen's novel, starring Romola Garai in the title role.
-
C.
Emma
Emma is a central character in Sam Shepard’s play "Curse of the Starving Class," portrayed as a rebellious and sharp-witted teenage girl struggling against her dysfunctional family and bleak circumstances.
-
D.
Emma
Emma is the central protagonist of Andrew Lloyd Webber's song cycle and musical "Tell Me on a Sunday," which follows a young Englishwoman navigating love and heartbreak in New York.
-
E.
Emily
Emily is a given name commonly used in English-speaking countries, often associated with literary, historical, and contemporary cultural figures.
- 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 Triple: [Ashley Scott, playedCharacter, Emma]
Generated description
Emma is a fictional character portrayed by American actress Ashley Scott, known for her roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Target entity description: Emma is a fictional character portrayed by American actress Ashley Scott, known for her roles in film and television.
-
A.
Emma
Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
-
B.
Emma
"Emma" is a 2009 British television miniseries adaptation of Jane Austen's novel, starring Romola Garai in the title role.
-
C.
Emma
Emma is a central character in Sam Shepard’s play "Curse of the Starving Class," portrayed as a rebellious and sharp-witted teenage girl struggling against her dysfunctional family and bleak circumstances.
-
D.
Emma
Emma is the central protagonist of Andrew Lloyd Webber's song cycle and musical "Tell Me on a Sunday," which follows a young Englishwoman navigating love and heartbreak in New York.
-
E.
Emily
Emily is a given name commonly used in English-speaking countries, often associated with literary, historical, and contemporary cultural figures.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d802a75c8190a4ce45e5fbffc1b7 |
completed | April 20, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c54c78788190905dbcdf996b0d9d |
completed | May 14, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_6a05c9bd8cc08190afe552b99bbcd208 |
completed | May 14, 2026, 1:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05ca8a369881909179015a598eed69 |
completed | May 14, 2026, 1:13 p.m. |
Created at: April 10, 2026, 12:03 p.m.