Triple
T20454643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keane Bridge |
E501743
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Sir Michael Keane |
—
|
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: Sir Michael Keane | Statement: [Keane Bridge, namedAfter, Sir Michael Keane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir Michael Keane Context triple: [Keane Bridge, namedAfter, Sir Michael Keane]
-
A.
Michael Keane
chosen
Michael Keane was a British colonial official after whom the historic Keane Bridge in Sylhet, Bangladesh, was named.
-
B.
Liam Murphy
Liam Murphy is a prominent legal philosopher and scholar known for his influential work in jurisprudence and moral and political theory.
-
C.
Kevin Cahill
Kevin Cahill is a name shared by several notable individuals, including figures in politics, sports, and academia.
-
D.
Gary Cahill
Gary Cahill is a retired English professional footballer best known as a central defender for Chelsea and the England national team, with whom he won multiple Premier League and UEFA Champions League titles.
-
E.
Lee Adams
Lee Adams is the protagonist of the Christian novel "Saving Faith," around whom the story’s spiritual and personal journey revolves.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d04ca4081909b428c31d16fca10 |
completed | April 20, 2026, 8:31 p.m. |
Created at: April 16, 2026, 11:32 a.m.