Triple
T7997859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foley |
E186171
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Thomas Foley |
E65266
|
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 Foley | Statement: [Foley, hasNotableBearer, Thomas Foley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Foley Context triple: [Foley, hasNotableBearer, Thomas Foley]
-
A.
Thomas Foley
chosen
Thomas Foley was a distinguished Royal Navy officer who played a key role under Admiral Nelson during the French Revolutionary and Napoleonic Wars.
-
B.
John M. Larson
John M. Larson is an American businessman best known as the founder and former chief executive of the for-profit education company Career Education Corporation.
-
C.
Louis Hynes
Louis Hynes is a British actor best known for playing Klaus Baudelaire in the Netflix adaptation of "A Series of Unfortunate Events."
-
D.
Thomas F. Foley
Thomas F. Foley was a prominent New York City political figure and Tammany Hall leader in the late 19th and early 20th centuries.
-
E.
Thomas Meehan
Thomas Meehan was an American playwright and librettist best known for writing the books for hit Broadway musicals such as Annie, The Producers, and Hairspray.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c98e39081908904d36a31bd6768 |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56910dd4819084ffe3350f15d95d |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:17 p.m.