Triple
T604911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Hart |
E11573
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael Hart |
E11573
|
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 Hart | Statement: [Michael Hart, name, Michael Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Hart Context triple: [Michael Hart, name, Michael Hart]
-
A.
Michael Hart
chosen
Michael Hart was the founder of Project Gutenberg and a pioneer of digital libraries and e-books.
-
B.
Michael H. Hart
Michael H. Hart is an American astrophysicist and author best known for his work on the Fermi paradox and his controversial book "The 100: A Ranking of the Most Influential Persons in History."
-
C.
Michael Darwin
Michael Darwin is an American writer and researcher best known for his influential work and advocacy in the field of cryonics.
-
D.
Richard Bolt
Richard Bolt was an American acoustician and co-founder of the influential research and engineering firm Bolt Beranek and Newman, known for its pioneering work in acoustics and computer networking.
-
E.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc7d88c81909fe493ac57fd784e |
completed | March 1, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5238addd48190a1f4f471715fccea |
completed | March 2, 2026, 5:43 a.m. |
Created at: March 1, 2026, 7:35 p.m.