Triple
T7565236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Rayburn Library and Museum |
E178895
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Sam Rayburn |
E33278
|
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: Sam Rayburn | Statement: [Sam Rayburn Library and Museum, namedAfter, Sam Rayburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Rayburn Context triple: [Sam Rayburn Library and Museum, namedAfter, Sam Rayburn]
-
A.
Sam Rayburn
chosen
Sam Rayburn was a long-serving Democratic politician from Texas who became one of the most influential Speakers in the history of the U.S. House of Representatives.
-
B.
Lewis Deschler
Lewis Deschler was a long-serving and influential Parliamentarian of the U.S. House of Representatives, known for his expertise in legislative procedure and rules.
-
C.
Joseph Gurney Cannon
Joseph Gurney Cannon was a powerful early 20th-century American politician who served as one of the most influential and autocratic Speakers of the U.S. House of Representatives.
-
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.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8fc6a408190abf363a29359e764 |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8683978b48190971b4c38fd83d3cc |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:50 p.m.