Triple
T4496376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrison Tweed |
E100705
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Tweed
Tweed is a surname of Scottish origin most commonly associated with the River Tweed region and borne by various notable individuals.
|
E446317
|
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: Tweed | Statement: [Harrison Tweed, hasFamilyName, Tweed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tweed Context triple: [Harrison Tweed, hasFamilyName, Tweed]
-
A.
Tweed
Tweed is a state electoral district in New South Wales, Australia, encompassing the coastal region around Tweed Heads near the Queensland border.
-
B.
Cotten
Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
-
C.
Mackintosh
Mackintosh is a Scottish surname most famously associated with architect and designer Charles Rennie Mackintosh, a key figure in the Art Nouveau and Glasgow Style movements.
-
D.
Loonse denier
The Loonse denier was a medieval silver coin used as the primary monetary unit in the County of Loon in what is now Belgium.
-
E.
Loden
Loden is a surname most notably associated with Barbara Loden, the American actress and filmmaker known for her groundbreaking independent film "Wanda."
- 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: Tweed Triple: [Harrison Tweed, hasFamilyName, Tweed]
Generated description
Tweed is a surname of Scottish origin most commonly associated with the River Tweed region and borne by various notable individuals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tweed Target entity description: Tweed is a surname of Scottish origin most commonly associated with the River Tweed region and borne by various notable individuals.
-
A.
Tweed
Tweed is a state electoral district in New South Wales, Australia, encompassing the coastal region around Tweed Heads near the Queensland border.
-
B.
Cotten
Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
-
C.
Mackintosh
Mackintosh is a Scottish surname most famously associated with architect and designer Charles Rennie Mackintosh, a key figure in the Art Nouveau and Glasgow Style movements.
-
D.
Loonse denier
The Loonse denier was a medieval silver coin used as the primary monetary unit in the County of Loon in what is now Belgium.
-
E.
Loden
Loden is a surname most notably associated with Barbara Loden, the American actress and filmmaker known for her groundbreaking independent film "Wanda."
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56bf3ff48190b3aae0136d7fce45 |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd67c4e7c88190b9b9cab49444b515 |
completed | March 20, 2026, 3:29 p.m. |
| NEDg | Description generation | batch_69bd683417b08190bc4e08638a30c0ec |
completed | March 20, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd68b4681c8190abb170ccb054cd05 |
completed | March 20, 2026, 3:33 p.m. |
Created at: March 20, 2026, 1 p.m.