Triple
T6650194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Haçienda |
E150800
|
entity |
| Predicate | coOwnedBy |
P3498
|
FINISHED |
| Object |
Alan Erasmus
Alan Erasmus is a British music entrepreneur and co-founder of Factory Records, instrumental in shaping Manchester’s post-punk and club scene.
|
E609750
|
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: Alan Erasmus | Statement: [The Haçienda, coOwnedBy, Alan Erasmus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Erasmus Context triple: [The Haçienda, coOwnedBy, Alan Erasmus]
-
A.
George Bernard Erath
George Bernard Erath was a 19th-century Texas surveyor, soldier, and politician who played a significant role in the early development and settlement of Texas.
-
B.
Arthur Seid
Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
-
C.
Philip Voss
Philip Voss was a British actor known for his extensive work in theatre, television, and radio, including roles with the Royal Shakespeare Company and appearances in popular UK dramas.
-
D.
Bertram Bloch
Bertram Bloch was a writer whose work served as the source material for the film "Dark Victory."
-
E.
Horace Rackham
Horace Rackham was a Detroit lawyer and early investor in the Ford Motor Company who became a prominent philanthropist supporting education, public health, and the arts.
- 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: Alan Erasmus Triple: [The Haçienda, coOwnedBy, Alan Erasmus]
Generated description
Alan Erasmus is a British music entrepreneur and co-founder of Factory Records, instrumental in shaping Manchester’s post-punk and club scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alan Erasmus Target entity description: Alan Erasmus is a British music entrepreneur and co-founder of Factory Records, instrumental in shaping Manchester’s post-punk and club scene.
-
A.
George Bernard Erath
George Bernard Erath was a 19th-century Texas surveyor, soldier, and politician who played a significant role in the early development and settlement of Texas.
-
B.
Arthur Seid
Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
-
C.
Philip Voss
Philip Voss was a British actor known for his extensive work in theatre, television, and radio, including roles with the Royal Shakespeare Company and appearances in popular UK dramas.
-
D.
Bertram Bloch
Bertram Bloch was a writer whose work served as the source material for the film "Dark Victory."
-
E.
Horace Rackham
Horace Rackham was a Detroit lawyer and early investor in the Ford Motor Company who became a prominent philanthropist supporting education, public health, and the arts.
- 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_69c6eef91eb08190a00ae027c21b08bf |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f1ed97248190ab2253b3b2457f4f |
completed | March 27, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f2c18c0081908958b7ffeed7a787 |
completed | March 27, 2026, 9:12 p.m. |
Created at: March 27, 2026, 2:01 p.m.