Triple
T20029151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramona and Beezus |
E495072
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Jane Moran
Jane Moran is a film editor known for her work on the family comedy movie "Ramona and Beezus."
|
E1406629
|
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: Jane Moran | Statement: [Ramona and Beezus, editedBy, Jane Moran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Moran Context triple: [Ramona and Beezus, editedBy, Jane Moran]
-
A.
Daphne Trimble
Daphne Trimble is a Northern Irish political figure and activist known for her involvement in unionist politics and public life alongside her late husband, Nobel Peace Prize laureate and former First Minister David Trimble.
-
B.
Jane Doughty
Jane Doughty is a technology entrepreneur best known as one of the founders of the database software company Sybase.
-
C.
Emily Charlton
Emily Charlton is the ambitious, fashion-obsessed first assistant to Miranda Priestly in "The Devil Wears Prada," known for her sharp wit and cutting remarks.
-
D.
Joanna Hancock
Joanna Hancock is the stepdaughter of the late British actor John Thaw, known for his roles in television series such as "Inspector Morse."
-
E.
Laura Bellingham
Laura Bellingham is a cinematographer known for her work on the fantasy adventure film "Amulet."
- 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: Jane Moran Triple: [Ramona and Beezus, editedBy, Jane Moran]
Generated description
Jane Moran is a film editor known for her work on the family comedy movie "Ramona and Beezus."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jane Moran Target entity description: Jane Moran is a film editor known for her work on the family comedy movie "Ramona and Beezus."
-
A.
Daphne Trimble
Daphne Trimble is a Northern Irish political figure and activist known for her involvement in unionist politics and public life alongside her late husband, Nobel Peace Prize laureate and former First Minister David Trimble.
-
B.
Jane Doughty
Jane Doughty is a technology entrepreneur best known as one of the founders of the database software company Sybase.
-
C.
Emily Charlton
Emily Charlton is the ambitious, fashion-obsessed first assistant to Miranda Priestly in "The Devil Wears Prada," known for her sharp wit and cutting remarks.
-
D.
Joanna Hancock
Joanna Hancock is the stepdaughter of the late British actor John Thaw, known for his roles in television series such as "Inspector Morse."
-
E.
Laura Bellingham
Laura Bellingham is a cinematographer known for her work on the fantasy adventure film "Amulet."
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e312e38819088a75309f6f43ba2 |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080eb8c4b48190b60b9ec2b8aed182 |
completed | May 16, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080f2b2a4881909bd514080858301e |
completed | May 16, 2026, 6:31 a.m. |
Created at: April 11, 2026, 3:36 p.m.