Triple
T19645223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Blue |
E471654
|
entity |
| Predicate | hasPerformer |
P5936
|
FINISHED |
| Object | Maura O'Connell |
—
|
NE NERFINISHED |
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: Maura O'Connell | Statement: [Old Blue, hasPerformer, Maura O'Connell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maura O'Connell Context triple: [Old Blue, hasPerformer, Maura O'Connell]
-
A.
Maura O’Connell
chosen
Maura O’Connell is an Irish folk singer renowned for her emotive vocal style and influential solo career in contemporary and traditional Irish music.
-
B.
Maura McHugh
Maura McHugh is an American basketball coach best known for her leadership roles in women's professional basketball, including in the WNBA.
-
C.
Maureen Brady
Maureen Brady is one of the sisters of former NFL quarterback Tom Brady and a member of the Brady family known for its strong athletic background.
-
D.
Maureen Sweeney
Maureen Sweeney is an Irish woman best known for her crucial World War II weather observations that influenced the timing of the D-Day landings.
-
E.
Antoinette O’Reilly
Antoinette O’Reilly is best known as the former wife of former Major League Baseball pitcher and current broadcaster Ron Darling.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6412452d481908b6946cad3c411d5 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.