Triple
T6122198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna McGarrigle |
E136510
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McGarrigle |
E561255
|
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: McGarrigle | Statement: [Anna McGarrigle, familyName, McGarrigle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McGarrigle Context triple: [Anna McGarrigle, familyName, McGarrigle]
-
A.
McGarrigle
chosen
McGarrigle is a surname best known through the Canadian folk music family that includes sisters Kate and Anna McGarrigle and their musical descendants.
-
B.
McGillis
McGillis is a surname most notably associated with American actress Kelly McGillis, known for her roles in films such as "Top Gun" and "Witness."
-
C.
MacRae
MacRae is a Scottish surname associated with various notable individuals in fields such as entertainment, sports, and public life.
-
D.
McGuire
McGuire is a surname most notably associated with American actress Dorothy McGuire, known for her work in classic Hollywood films.
-
E.
Gillies
Gillies is a Scottish-origin surname borne by numerous individuals, including notable figures in sports, arts, and public life.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c247b7081909972b40afb165e6f |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135a5c428819090066ad785296736 |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:14 p.m.