Triple
T7617019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrea diSessa |
E172386
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Andrea diSessa |
E172386
|
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: Andrea diSessa | Statement: [Andrea diSessa, name, Andrea diSessa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrea diSessa Context triple: [Andrea diSessa, name, Andrea diSessa]
-
A.
Andrea diSessa
chosen
Andrea diSessa is an American educational researcher and cognitive scientist known for his work on physics education, computational literacy, and the design of learning environments.
-
B.
Terry Winograd
Terry Winograd is a pioneering computer scientist known for his influential work in artificial intelligence, natural language understanding, and human-computer interaction.
-
C.
Herbert H. Clark
Herbert H. Clark is an American psycholinguist and cognitive scientist known for his influential work on language use, common ground, and the pragmatics of conversation.
-
D.
Hal Abelson
Hal Abelson is an American computer scientist and MIT professor known for his pioneering work in computer science education, open knowledge, and software freedom.
-
E.
Mitchel Resnick
Mitchel Resnick is an American educator and MIT professor known for his pioneering work in constructionist learning and for leading the development of the Scratch programming language for children.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa46d95081909c01d1432585ab2a |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8709b93c881909dd4c8a7669279db |
completed | March 29, 2026, 12:21 a.m. |
Created at: March 27, 2026, 3:55 p.m.