Triple
T14775715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Saint Lucia |
E347253
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
Sydney Bagshaw
Sydney Bagshaw was the designer responsible for creating the official coat of arms of Saint Lucia.
|
E1119163
|
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: Sydney Bagshaw | Statement: [Coat of arms of Saint Lucia, designedBy, Sydney Bagshaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sydney Bagshaw Context triple: [Coat of arms of Saint Lucia, designedBy, Sydney Bagshaw]
-
A.
Sydney Penny
Sydney Penny is an American actress best known for her roles in film and television, including prominent performances in Westerns and daytime soap operas.
-
B.
Sydney Burrell
Sydney Burrell is known as the child of Jamaican-American reggae fusion artist Shaggy.
-
C.
Sydney Graham
Sydney Graham is a character on the television drama series "Parenthood," depicted as one of the young members of the Braverman family.
-
D.
Sydney Prosser
Sydney Prosser is a savvy, ambitious con artist and the sophisticated love interest of Christian Bale’s character in the crime film "American Hustle."
-
E.
Sydney Dodson
Sydney Dodson is an individual whose name is associated with the use of something referred to as "Dodson," though little public information is available about them.
- 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: Sydney Bagshaw Triple: [Coat of arms of Saint Lucia, designedBy, Sydney Bagshaw]
Generated description
Sydney Bagshaw was the designer responsible for creating the official coat of arms of Saint Lucia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sydney Bagshaw Target entity description: Sydney Bagshaw was the designer responsible for creating the official coat of arms of Saint Lucia.
-
A.
Sydney Penny
Sydney Penny is an American actress best known for her roles in film and television, including prominent performances in Westerns and daytime soap operas.
-
B.
Sydney Burrell
Sydney Burrell is known as the child of Jamaican-American reggae fusion artist Shaggy.
-
C.
Sydney Graham
Sydney Graham is a character on the television drama series "Parenthood," depicted as one of the young members of the Braverman family.
-
D.
Sydney Prosser
Sydney Prosser is a savvy, ambitious con artist and the sophisticated love interest of Christian Bale’s character in the crime film "American Hustle."
-
E.
Sydney Dodson
Sydney Dodson is an individual whose name is associated with the use of something referred to as "Dodson," though little public information is available about them.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec815dd5081909e927911c06b2d66 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cff0474819092e8447f2f13cf59 |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1cd4e298819099288c21852f3ae2 |
completed | May 8, 2026, 5:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1d6a3360819081eeb43c2a4f84c3 |
completed | May 8, 2026, 5:29 p.m. |
Created at: April 10, 2026, 1:31 a.m.