Triple
T13608810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Hyland |
E325132
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Ian Hyland |
E663726
|
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: Ian Hyland | Statement: [Sarah Hyland, sibling, Ian Hyland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Hyland Context triple: [Sarah Hyland, sibling, Ian Hyland]
-
A.
Ian Hyland
chosen
Ian Hyland is an American actor best known for his supporting role in the romantic comedy film "Spanglish."
-
B.
Stephen Langridge
Stephen Langridge is a British opera and theatre director known for leading major European opera institutions and for his innovative, often socially engaged productions.
-
C.
Ian Harwood
Ian Harwood is a notable individual distinguished enough in his field or public life to be specifically recognized as a prominent bearer of the surname Harwood.
-
D.
David Hewitt
David Hewitt is a renowned mobile recording engineer and producer known for capturing high-profile live performances and concerts.
-
E.
Michael Colleary
Michael Colleary is an American screenwriter and producer best known for co-writing the action film "Face/Off" and working on various Hollywood genre movies and television projects.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07f462c8190b5b5e115d550037f |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8c6cde08190b79fdcde8a81ccc4 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:50 p.m.