Triple
T10449891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunshine Skyway Bridge |
E246391
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Bob Graham
Bob Graham is an American politician who served as governor of Florida and later as a U.S. senator, known for his focus on education, environmental protection, and public service.
|
E863314
|
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: Bob Graham | Statement: [Sunshine Skyway Bridge, namedAfter, Bob Graham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Graham Context triple: [Sunshine Skyway Bridge, namedAfter, Bob Graham]
-
A.
Bob Graham
Bob Graham is an Australian author and illustrator best known for his award-winning children's picture books.
-
B.
Jim Wright
Jim Wright was an American Democratic politician from Texas who served as a powerful congressional leader and later Speaker of the U.S. House of Representatives in the 1980s.
-
C.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the shark thriller "Deep Blue Sea."
-
D.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on the acclaimed drama "Glengarry Glen Ross."
-
E.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on the thriller "Snakes on a Plane."
- 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: Bob Graham Triple: [Sunshine Skyway Bridge, namedAfter, Bob Graham]
Generated description
Bob Graham is an American politician who served as governor of Florida and later as a U.S. senator, known for his focus on education, environmental protection, and public service.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Graham Target entity description: Bob Graham is an American politician who served as governor of Florida and later as a U.S. senator, known for his focus on education, environmental protection, and public service.
-
A.
Bob Graham
Bob Graham is an Australian author and illustrator best known for his award-winning children's picture books.
-
B.
Jim Wright
Jim Wright was an American Democratic politician from Texas who served as a powerful congressional leader and later Speaker of the U.S. House of Representatives in the 1980s.
-
C.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the shark thriller "Deep Blue Sea."
-
D.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on the acclaimed drama "Glengarry Glen Ross."
-
E.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on the thriller "Snakes on a Plane."
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe09af04819083db42f4de4cb0a9 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87efedf6c8190aa4b7bbe5f160eeb |
completed | April 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69d886c562c081908aae846da8efb1a5 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dce21448190b093b4f548e29f84 |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:17 p.m.