Triple
T11291033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neal Boyle |
E267322
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Tim Boyle |
E261841
|
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: Tim Boyle | Statement: [Neal Boyle, hasChild, Tim Boyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Boyle Context triple: [Neal Boyle, hasChild, Tim Boyle]
-
A.
Tim Boyle
chosen
Tim Boyle is an American businessman best known as the longtime CEO of Columbia Sportswear, the company built by his mother Gert Boyle.
-
B.
Kevin Boyle
Kevin Boyle was a prominent Northern Irish civil rights activist, lawyer, and academic known for his work on human rights and involvement in the civil rights movement.
-
C.
Michael Charles Boyer
Michael Charles Boyer was the son of French actor Charles Boyer, known primarily for his tragic death in 1965.
-
D.
Daniel Francis Boyle
Daniel Francis Boyle is a British film director, producer, and screenwriter best known for acclaimed movies such as "Trainspotting," "Slumdog Millionaire," and "28 Days Later."
-
E.
Mike Boodley
Mike Boodley is a roller coaster designer best known for his work on major thrill rides, including the wooden coaster Roar.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e989fdac81909a4a75f1f68b55c6 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a246a3c81909f4f1d32a1b1efeb |
completed | April 19, 2026, 5 p.m. |
Created at: April 8, 2026, 9:32 p.m.