Triple
T11922833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Bodden Airfield |
E283698
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Edward Bodden
Edward Bodden was a notable individual from the Cayman Islands, commemorated for his local significance by having the Little Cayman airfield named in his honor.
|
E956627
|
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: Edward Bodden | Statement: [Edward Bodden Airfield, namedAfter, Edward Bodden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Bodden Context triple: [Edward Bodden Airfield, namedAfter, Edward Bodden]
-
A.
Edward Buncombe
Edward Buncombe was an American Revolutionary War officer from North Carolina after whom Buncombe County was named.
-
B.
Edward Blount
Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
-
C.
Anthony Bodden
Anthony Bodden is a screenwriter known for his work on the film "Belly."
-
D.
Edward Bransfield
Edward Bransfield was a 19th-century Irish-born British naval officer and explorer noted for his early charting and exploration of the Antarctic region.
-
E.
Edmund Reggie
Edmund Reggie was an American judge, banker, and influential Louisiana political figure known for his close ties to the Kennedy family.
- 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: Edward Bodden Triple: [Edward Bodden Airfield, namedAfter, Edward Bodden]
Generated description
Edward Bodden was a notable individual from the Cayman Islands, commemorated for his local significance by having the Little Cayman airfield named in his honor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edward Bodden Target entity description: Edward Bodden was a notable individual from the Cayman Islands, commemorated for his local significance by having the Little Cayman airfield named in his honor.
-
A.
Edward Buncombe
Edward Buncombe was an American Revolutionary War officer from North Carolina after whom Buncombe County was named.
-
B.
Edward Blount
Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
-
C.
Anthony Bodden
Anthony Bodden is a screenwriter known for his work on the film "Belly."
-
D.
Edward Bransfield
Edward Bransfield was a 19th-century Irish-born British naval officer and explorer noted for his early charting and exploration of the Antarctic region.
-
E.
Edmund Reggie
Edmund Reggie was an American judge, banker, and influential Louisiana political figure known for his close ties to the Kennedy family.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e1b08481909ed291667035f330 |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f45891f9c081909250a0aa0f7448d2 |
completed | May 1, 2026, 7:38 a.m. |
| NEDg | Description generation | batch_69f45f86349c81909a806fd7be4008e9 |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4647ee1748190975bce3bbf51a3bc |
completed | May 1, 2026, 8:29 a.m. |
Created at: April 8, 2026, 9:45 p.m.