Triple
T11697920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Leahy |
E278044
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Leahy |
E161701
|
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: Leahy | Statement: [Frank Leahy, familyName, Leahy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leahy Context triple: [Frank Leahy, familyName, Leahy]
-
A.
Leahy
chosen
Leahy is a surname of Irish origin borne by various notable individuals in fields such as politics, music, and public service.
-
B.
Kassebaum
Kassebaum is the surname most prominently associated with Nancy Kassebaum, a former United States senator from Kansas known for her moderate Republican views and bipartisan work.
-
C.
Crapo
Crapo is the middle name of William C. Durant, the American industrialist who co-founded General Motors and Chevrolet.
-
D.
Paul Lieberman
Paul Lieberman is an American journalist and author best known for his book chronicling the real-life LAPD unit that inspired the film "Gangster Squad."
-
E.
Blumenthal
Blumenthal is a German-origin surname borne by various notable individuals in fields such as politics, academia, and the arts.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47df68c81908a91919a69b4880d |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef147e2e10819085eaed83fd955b6b |
completed | April 27, 2026, 7:47 a.m. |
Created at: April 8, 2026, 9:40 p.m.