Triple
T14355111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank McCourt |
E355952
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McCourt |
E652273
|
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: McCourt | Statement: [Frank McCourt, familyName, McCourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McCourt Context triple: [Frank McCourt, familyName, McCourt]
-
A.
McCourt
chosen
McCourt is an Irish surname most notably associated with Pulitzer Prize–winning author Frank McCourt, known for his memoir "Angela’s Ashes."
-
B.
O’Connor
O’Connor is a large federal electoral division in Western Australia, represented in the Australian House of Representatives.
-
C.
Mullaney
Mullaney is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
-
D.
McGuire
McGuire is a surname most notably associated with American actress Dorothy McGuire, known for her work in classic Hollywood films.
-
E.
O'Connor
O'Connor is an Irish-origin surname borne by numerous notable figures in literature, politics, 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f519bf881908615f4d47e0f77aa |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c44ff4c8190bbcc7a34b98ac330 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:15 a.m.