Triple
T5590789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halloweentown |
E146870
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Sophie Piper
Sophie Piper is the youngest Cromwell sibling in Disney's "Halloweentown" film series, known for her emerging magical abilities and intuitive connection to the supernatural.
|
E536782
|
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: Sophie Piper | Statement: [Halloweentown, character, Sophie Piper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Piper Context triple: [Halloweentown, character, Sophie Piper]
-
A.
Sophie Piper
Sophie Piper was a Swedish noblewoman and courtier of the late 18th and early 19th centuries, known for her close ties to the royal court and involvement in contemporary political and social circles.
-
B.
Sophie Baker
Sophie Baker is known as the wife of acclaimed English actor Ian Holm.
-
C.
Sophia Hitchens
Sophia Hitchens is the daughter of the late British-American author and polemicist Christopher Hitchens.
-
D.
Sophia Pitt
Sophia Pitt was an 18th-century English gentlewoman known primarily as the wife of Royal Navy admiral Sir George Pocock.
-
E.
Sophie Lee
Sophie Lee is an Australian actress and television presenter known for her roles in films such as "Muriel's Wedding" and various Australian TV programs.
- 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: Sophie Piper Triple: [Halloweentown, character, Sophie Piper]
Generated description
Sophie Piper is the youngest Cromwell sibling in Disney's "Halloweentown" film series, known for her emerging magical abilities and intuitive connection to the supernatural.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sophie Piper Target entity description: Sophie Piper is the youngest Cromwell sibling in Disney's "Halloweentown" film series, known for her emerging magical abilities and intuitive connection to the supernatural.
-
A.
Sophie Piper
Sophie Piper was a Swedish noblewoman and courtier of the late 18th and early 19th centuries, known for her close ties to the royal court and involvement in contemporary political and social circles.
-
B.
Sophie Baker
Sophie Baker is known as the wife of acclaimed English actor Ian Holm.
-
C.
Sophia Hitchens
Sophia Hitchens is the daughter of the late British-American author and polemicist Christopher Hitchens.
-
D.
Sophia Pitt
Sophia Pitt was an 18th-century English gentlewoman known primarily as the wife of Royal Navy admiral Sir George Pocock.
-
E.
Sophie Lee
Sophie Lee is an Australian actress and television presenter known for her roles in films such as "Muriel's Wedding" and various Australian TV programs.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020a1d4cc8190a52264dfba6aa011 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d342f7881908a79522692e8f7f9 |
completed | March 22, 2026, 8:12 p.m. |
| NEDg | Description generation | batch_69c04ed9159481909adeb9228ce59d0e |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f7856848190a835c3ee0a32f649 |
completed | March 22, 2026, 8:22 p.m. |
Created at: March 22, 2026, 3:38 p.m.