Triple
T13064912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Boland |
E329296
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Dean Boland |
E1037425
|
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: Dean Boland | Statement: [Beth Boland, spouse, Dean Boland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dean Boland Context triple: [Beth Boland, spouse, Dean Boland]
-
A.
Dean Boland
chosen
Dean Boland is a fictional character, a suburban husband and father entangled in crime and financial troubles on the dark comedy TV series "Good Girls."
-
B.
Bill O'Herlihy
Bill O'Herlihy was a prominent Irish sports broadcaster and television presenter best known for his long career covering major football tournaments for RTÉ.
-
C.
Gerard Brennan
Gerard Brennan was an Australian jurist who served as Chief Justice of the High Court of Australia and was influential in landmark decisions on Indigenous land rights.
-
D.
John O’Keefe
John O’Keefe is a British-American neuroscientist renowned for discovering place cells in the hippocampus, a breakthrough that helped reveal the brain’s internal GPS system.
-
E.
John O’Keefe
John O’Keefe is an American playwright, actor, and director known for his experimental and avant-garde theater works.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e9bdfc81908eb90fb50597df64 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7941e0560819080eee43a9ed0e1bb |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 9, 2026, 8:59 p.m.