Triple
T14197981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas F. Foley |
E351889
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Thomas F. Foley |
E351889
|
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: Thomas F. Foley | Statement: [Thomas F. Foley, name, Thomas F. Foley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas F. Foley Context triple: [Thomas F. Foley, name, Thomas F. Foley]
-
A.
Thomas F. Foley
chosen
Thomas F. Foley was a prominent New York City political figure and Tammany Hall leader in the late 19th and early 20th centuries.
-
B.
Tom Foley
Tom Foley is an American politician who served as the 49th Speaker of the United States House of Representatives from 1989 to 1995.
-
C.
Thomas Foley
Thomas Foley was a distinguished Royal Navy officer who played a key role under Admiral Nelson during the French Revolutionary and Napoleonic Wars.
-
D.
Henry M. Jackson
Henry M. Jackson was a long-serving U.S. Senator from Washington known for his influential roles in defense policy, strong anti-communist stance, and advocacy for environmental protection.
-
E.
Warren G. Magnuson
Warren G. Magnuson was a long-serving U.S. Senator from Washington known for his influential role in shaping American maritime, fisheries, and consumer protection legislation.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e30f208190b61c1c7bd3501156 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194d14008190a74021ff5a3e51d1 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:04 a.m.