Triple
T16533931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broome County, New York |
E401638
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
John Broome
John Broome was an American politician who served as Lieutenant Governor of New York in the early 19th century.
|
E1223657
|
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: John Broome | Statement: [Broome County, New York, namedAfter, John Broome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Broome Context triple: [Broome County, New York, namedAfter, John Broome]
-
A.
John Broome
John Broome is a British philosopher and economist known for his influential work on ethics, rationality, and climate change.
-
B.
John Broome
John Broome was an American comic book writer best known for his influential work at DC Comics, particularly on Green Lantern and The Flash during the Silver Age of comics.
-
C.
Geoffrey Brock
Geoffrey Brock is an American poet and translator renowned for his acclaimed English translations of Italian literature.
-
D.
John Burrows
John Burrows is a fictional character featured in the 1951 British drama film "Journey into Light."
-
E.
George Lepping
George Lepping was a Solomon Islands politician who served as the country's second Governor-General from 1988 to 1994.
- 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: John Broome Triple: [Broome County, New York, namedAfter, John Broome]
Generated description
John Broome was an American politician who served as Lieutenant Governor of New York in the early 19th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Broome Target entity description: John Broome was an American politician who served as Lieutenant Governor of New York in the early 19th century.
-
A.
John Broome
John Broome is a British philosopher and economist known for his influential work on ethics, rationality, and climate change.
-
B.
John Broome
John Broome was an American comic book writer best known for his influential work at DC Comics, particularly on Green Lantern and The Flash during the Silver Age of comics.
-
C.
Geoffrey Brock
Geoffrey Brock is an American poet and translator renowned for his acclaimed English translations of Italian literature.
-
D.
John Burrows
John Burrows is a fictional character featured in the 1951 British drama film "Journey into Light."
-
E.
George Lepping
George Lepping was a Solomon Islands politician who served as the country's second Governor-General from 1988 to 1994.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32eda42548190be61efb25a44a554 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007da0867881908ad9391d6d4cdebb |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e4df09081909f8d9485ed85d5b0 |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007ebd75c081908ff382d3548ca620 |
completed | May 10, 2026, 12:49 p.m. |
Created at: April 10, 2026, 5:15 a.m.