Triple
T7528067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Rayburn |
E177946
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rayburn |
E177946
|
NE FINISHED |
How this triple was built (2 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: Rayburn | Statement: [Sam Rayburn, familyName, Rayburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rayburn Context triple: [Sam Rayburn, familyName, Rayburn]
-
A.
Rayburn
chosen
Rayburn is a surname most notably associated with Sam Rayburn, the long-serving Speaker of the United States House of Representatives.
-
B.
Bill House
Bill House was a pioneering mountaineer known for making the first ascent of Mount Waddington in the Coast Mountains of British Columbia.
-
C.
Tydings Hall
Tydings Hall is an academic building at the University of Maryland, College Park, housing social science departments and classrooms along the edge of McKeldin Mall.
-
D.
Dirksen Senate Office Building
The Dirksen Senate Office Building is one of the primary office buildings for members of the United States Senate, located just northeast of the U.S. Capitol in Washington, D.C.
-
E.
Virginia Hill
Virginia Hill was a notorious American mob courier and socialite closely linked to organized crime figures, most famously gangster Bugsy Siegel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81cc5748190818443c48c9e3114 |
completed | March 27, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84639c19881909e1736afc01a020d |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:47 p.m.