Triple
T7534019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Middleton |
E178101
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Michael Francis Middleton |
E178101
|
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 Francis Middleton | Statement: [Michael Middleton, birthName, Michael Francis Middleton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Francis Middleton Context triple: [Michael Middleton, birthName, Michael Francis Middleton]
-
A.
Michael Middleton
chosen
Michael Middleton is a British businessman best known as the father of Catherine, Princess of Wales.
-
B.
Michael Russell
Michael Russell is a Scottish National Party politician who has held senior roles in the Scottish Government, including responsibility for constitutional and external affairs.
-
C.
Andrew D. Martin
Andrew D. Martin is an American political scientist and academic administrator who serves as the chancellor of Washington University in St. Louis.
-
D.
Michael Byrne
Michael Byrne is a British character actor known for his numerous film and television roles, often portraying military officers or authority figures.
-
E.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84a9d28819084ebfc44fcb2c29c |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856b369c88190b8a9a196e2166f9f |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:47 p.m.