Triple
T18506893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Schlamme |
E452219
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pan Am (TV series) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Pan Am (TV series) | Statement: [Thomas Schlamme, notableWork, Pan Am (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pan Am (TV series) Context triple: [Thomas Schlamme, notableWork, Pan Am (TV series)]
-
A.
The Lindbergh Line
The Lindbergh Line was a famous late-1920s U.S. coast-to-coast air-rail service branded around aviator Charles Lindbergh’s name to promote fast, modern transcontinental travel.
-
B.
Air Miami
Air Miami was an American indie pop band formed by former members of Unrest, known for their melodic, lo-fi sound in the mid-1990s.
-
C.
The Yankee Clipper
The Yankee Clipper was the legendary New York Yankees center fielder Joe DiMaggio, famed for his graceful play and his record 56-game hitting streak.
-
D.
Pan Am Systems
Pan Am Systems is a privately held U.S. transportation and industrial holding company best known for owning and operating the regional freight railroad Pan Am Railways in New England.
-
E.
Seagull Line
The Seagull Line is the nickname for the Blue Line of the Lisbon Metro, one of the main rapid transit routes serving Portugal’s capital city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pan Am (TV series) Target entity description: Pan Am is a period drama television series set in the early 1960s that follows the glamorous and turbulent lives of pilots and flight attendants working for the iconic Pan American World Airways.
-
A.
The Lindbergh Line
The Lindbergh Line was a famous late-1920s U.S. coast-to-coast air-rail service branded around aviator Charles Lindbergh’s name to promote fast, modern transcontinental travel.
-
B.
Air Miami
Air Miami was an American indie pop band formed by former members of Unrest, known for their melodic, lo-fi sound in the mid-1990s.
-
C.
The Yankee Clipper
The Yankee Clipper was the legendary New York Yankees center fielder Joe DiMaggio, famed for his graceful play and his record 56-game hitting streak.
-
D.
Pan Am Systems
Pan Am Systems is a privately held U.S. transportation and industrial holding company best known for owning and operating the regional freight railroad Pan Am Railways in New England.
-
E.
Seagull Line
The Seagull Line is the nickname for the Blue Line of the Lisbon Metro, one of the main rapid transit routes serving Portugal’s capital city.
- F. None of above. chosen
Provenance (2 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5334266708190b59aca3a2218c095 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.