Triple
T18592939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madge Bishop |
E454414
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Anne Charleston
Anne Charleston is an Australian actress best known for playing Madge Bishop on the long-running soap opera "Neighbours."
|
E1331996
|
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: Anne Charleston | Statement: [Madge Bishop, portrayedBy, Anne Charleston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Charleston Context triple: [Madge Bishop, portrayedBy, Anne Charleston]
-
A.
The Charleston
The Charleston is a famous early 20th-century American jazz dance and song that became emblematic of the Roaring Twenties.
-
B.
Beaufort
Beaufort is a small town and administrative district in the southwestern part of Sabah, Malaysia, known for its railway connection and proximity to wetlands and riverine landscapes.
-
C.
Beaufort
Beaufort is a firm, raw cow’s milk Alpine cheese from France renowned for its smooth texture and complex, nutty flavor.
-
D.
Beaufort
Beaufort is a character in Frances Burney’s satirical play "The Witlings," which critiques the pretensions and follies of fashionable 18th-century society.
-
E.
Beaufort
Beaufort is an English noble family name historically associated with a prominent cadet branch of the House of Lancaster in medieval England.
- 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: Anne Charleston Triple: [Madge Bishop, portrayedBy, Anne Charleston]
Generated description
Anne Charleston is an Australian actress best known for playing Madge Bishop on the long-running soap opera "Neighbours."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Charleston Target entity description: Anne Charleston is an Australian actress best known for playing Madge Bishop on the long-running soap opera "Neighbours."
-
A.
The Charleston
The Charleston is a famous early 20th-century American jazz dance and song that became emblematic of the Roaring Twenties.
-
B.
Beaufort
Beaufort is a small town and administrative district in the southwestern part of Sabah, Malaysia, known for its railway connection and proximity to wetlands and riverine landscapes.
-
C.
Beaufort
Beaufort is a firm, raw cow’s milk Alpine cheese from France renowned for its smooth texture and complex, nutty flavor.
-
D.
Beaufort
Beaufort is a character in Frances Burney’s satirical play "The Witlings," which critiques the pretensions and follies of fashionable 18th-century society.
-
E.
Beaufort
Beaufort is an English noble family name historically associated with a prominent cadet branch of the House of Lancaster in medieval England.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b7ce3881908302ee27a2cf80d6 |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f89b0cd88190bee76c1f78368c22 |
completed | May 13, 2026, 10:18 p.m. |
| NEDg | Description generation | batch_6a04fa3c17408190ba9d61f5c2db868a |
completed | May 13, 2026, 10:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04fa9b7cc88190903670888e5c6b20 |
completed | May 13, 2026, 10:26 p.m. |
Created at: April 10, 2026, 11:44 a.m.