Triple
T6650431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Certain Ratio |
E150804
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Martha Tilson
Martha Tilson is a vocalist best known for her work with the influential English post-punk band A Certain Ratio.
|
E684657
|
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: Martha Tilson | Statement: [A Certain Ratio, member, Martha Tilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Tilson Context triple: [A Certain Ratio, member, Martha Tilson]
-
A.
Martha Vickers
Martha Vickers was an American film and television actress best known for her role as Carmen Sternwood in the classic noir film "The Big Sleep" (1946).
-
B.
Martha Dix
Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
-
C.
Martha Stevens
Martha Stevens is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Stevens.
-
D.
Martha Hunt
Martha Hunt is an American fashion model best known for her work with Victoria’s Secret, including serving as a Victoria’s Secret Angel.
-
E.
Marian McAlpin
Marian McAlpin is the conflicted young protagonist of Margaret Atwood’s novel "The Edible Woman," whose growing aversion to food mirrors her anxiety about identity, gender roles, and societal expectations.
- 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: Martha Tilson Triple: [A Certain Ratio, member, Martha Tilson]
Generated description
Martha Tilson is a vocalist best known for her work with the influential English post-punk band A Certain Ratio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martha Tilson Target entity description: Martha Tilson is a vocalist best known for her work with the influential English post-punk band A Certain Ratio.
-
A.
Martha Vickers
Martha Vickers was an American film and television actress best known for her role as Carmen Sternwood in the classic noir film "The Big Sleep" (1946).
-
B.
Martha Dix
Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
-
C.
Martha Stevens
Martha Stevens is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Stevens.
-
D.
Martha Hunt
Martha Hunt is an American fashion model best known for her work with Victoria’s Secret, including serving as a Victoria’s Secret Angel.
-
E.
Marian McAlpin
Marian McAlpin is the conflicted young protagonist of Margaret Atwood’s novel "The Edible Woman," whose growing aversion to food mirrors her anxiety about identity, gender roles, and societal expectations.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b04408508190a87a669b32364368 |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4d712008190aa25340e1feb0804 |
completed | March 29, 2026, 5:12 a.m. |
| NEDg | Description generation | batch_69c8b5d3ed1c8190ad4e95229f91ca23 |
completed | March 29, 2026, 5:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b63c93b48190bab5314723ed4c24 |
completed | March 29, 2026, 5:18 a.m. |
Created at: March 27, 2026, 2:01 p.m.