Triple
T2541826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Cotten |
E57801
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cotten
Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
|
E277554
|
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: Cotten | Statement: [Joseph Cotten, familyName, Cotten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cotten Context triple: [Joseph Cotten, familyName, Cotten]
-
A.
Cotton
Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used in textiles and clothing.
-
B.
Seaborn Cotton
Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
-
C.
Coton
Coton is a small village and civil parish in South Cambridgeshire, England, located just west of the city of Cambridge.
-
D.
Tweed
Tweed is a state electoral district in New South Wales, Australia, encompassing the coastal region around Tweed Heads near the Queensland border.
-
E.
Silken Floss
Silken Floss is a stylish and enigmatic femme fatale and scientist who serves as one of the main villains in the 2008 superhero film "The Spirit."
- 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: Cotten Triple: [Joseph Cotten, familyName, Cotten]
Generated description
Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cotten Target entity description: Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
-
A.
Cotton
Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used in textiles and clothing.
-
B.
Seaborn Cotton
Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
-
C.
Coton
Coton is a small village and civil parish in South Cambridgeshire, England, located just west of the city of Cambridge.
-
D.
Tweed
Tweed is a state electoral district in New South Wales, Australia, encompassing the coastal region around Tweed Heads near the Queensland border.
-
E.
Silken Floss
Silken Floss is a stylish and enigmatic femme fatale and scientist who serves as one of the main villains in the 2008 superhero film "The Spirit."
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2bd92f88190bf100c799f62210c |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d046430819095605b8a8fd987d5 |
completed | March 9, 2026, 11:51 p.m. |
| NEDg | Description generation | batch_69af5f4be20c8190a0da1a25c7b097b8 |
completed | March 10, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5fe06e6881908e0b11f3101cb0f0 |
completed | March 10, 2026, 12:03 a.m. |
Created at: March 6, 2026, 9:47 p.m.