Triple
T22546897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ropers |
E557451
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Anne Brookes
Anne Brookes is a fictional character from the British sitcom "The Ropers."
|
E1545977
|
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 Brookes | Statement: [The Ropers, character, Anne Brookes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Brookes Context triple: [The Ropers, character, Anne Brookes]
-
A.
Anne Snelgrove
Anne Snelgrove is a British Labour politician who served as the Member of Parliament for the South Swindon constituency.
-
B.
Mary Priestley
Mary Priestley was the wife of chemist and theologian Joseph Priestley and a key figure in managing their household and social life during his scientific and religious work.
-
C.
Margaret Brooke
Margaret Brooke is the formal given name of Daisy Brooke, a person known informally by her nickname.
-
D.
Mary Shepherd
Mary Shepherd was a British philosopher known for her early 19th-century work on causation and metaphysics, which challenged the ideas of David Hume.
-
E.
Katherine Brooke
Katherine Brooke is a reserved, embittered teacher and vice-principal at Summerside High School whose guarded nature and gradual softening form a key emotional arc in L. M. Montgomery’s novel "Anne of Windy Poplars."
- 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 Brookes Triple: [The Ropers, character, Anne Brookes]
Generated description
Anne Brookes is a fictional character from the British sitcom "The Ropers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Brookes Target entity description: Anne Brookes is a fictional character from the British sitcom "The Ropers."
-
A.
Anne Snelgrove
Anne Snelgrove is a British Labour politician who served as the Member of Parliament for the South Swindon constituency.
-
B.
Mary Priestley
Mary Priestley was the wife of chemist and theologian Joseph Priestley and a key figure in managing their household and social life during his scientific and religious work.
-
C.
Margaret Brooke
Margaret Brooke is the formal given name of Daisy Brooke, a person known informally by her nickname.
-
D.
Mary Shepherd
Mary Shepherd was a British philosopher known for her early 19th-century work on causation and metaphysics, which challenged the ideas of David Hume.
-
E.
Katherine Brooke
Katherine Brooke is a reserved, embittered teacher and vice-principal at Summerside High School whose guarded nature and gradual softening form a key emotional arc in L. M. Montgomery’s novel "Anne of Windy Poplars."
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f366f208190abbc6eb4780b2d48 |
completed | April 29, 2026, 1:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4dedbb948190b0d18425b2ef9d54 |
completed | May 18, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_6a0b4f929c4081908436c82a4c7a0cd8 |
completed | May 18, 2026, 5:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b50b3c61c8190977a0c8a6e051b0c |
completed | May 18, 2026, 5:47 p.m. |
Created at: April 16, 2026, 8:52 p.m.