Triple
T10767825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Yeats |
E253998
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael Yeats |
E253998
|
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: Michael Yeats | Statement: [Michael Yeats, name, Michael Yeats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Yeats Context triple: [Michael Yeats, name, Michael Yeats]
-
A.
Michael Yeats
chosen
Michael Yeats was an Irish barrister and politician, best known as the son of poet W.B. Yeats and for his long service in Seanad Éireann.
-
B.
John Merrill
John Merrill was an American architect best known as a co-founder of the influential international architecture and engineering firm Skidmore, Owings & Merrill.
-
C.
John Merrill
John Merrill is a relatively common personal name that may refer to multiple individuals across different fields, such as politics, sports, or academia.
-
D.
Jonathan Ryland
Jonathan Ryland is an actor known for his role in the British television drama series "Fat Friends."
-
E.
Stephen Riley
Stephen Riley is the husband of the late bestselling Irish-Norwegian novelist Lucinda Riley.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7322eb2f08190999e09428e7f7ba8 |
completed | April 9, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de55cbbecc81908c2ddf2739ce7ffe |
completed | April 14, 2026, 2:57 p.m. |
Created at: April 8, 2026, 9:16 p.m.