Triple
T18876948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Feigenbaum |
E461710
|
entity |
| Predicate | coDeveloperOf |
P6901
|
FINISHED |
| Object | MYCIN |
—
|
NE NERFINISHED |
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: MYCIN | Statement: [Edward Feigenbaum, coDeveloperOf, MYCIN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MYCIN Context triple: [Edward Feigenbaum, coDeveloperOf, MYCIN]
-
A.
MYCIN
chosen
MYCIN is an early rule-based expert system developed in the 1970s for diagnosing and recommending treatment for bacterial infections, notable as a pioneering application of artificial intelligence in medicine.
-
B.
DENDRAL expert system
The DENDRAL expert system was an early artificial intelligence program that used heuristic rules to infer molecular structures from mass spectrometry data, pioneering knowledge-based systems in AI.
-
C.
A.L.I.C.E.
A.L.I.C.E. is an early, influential natural language chatbot based on AIML that became well known for its humanlike conversation and multiple wins in the Loebner Prize Turing Test competition.
-
D.
DENDRAL
DENDRAL was an early expert system in artificial intelligence designed to infer molecular structures of chemical compounds from mass spectrometry data.
-
E.
the Logic Theorist program
The Logic Theorist program was an early artificial intelligence system developed in the 1950s that automatically proved theorems in symbolic logic and is often regarded as the first AI program.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3cf0aa0819090991fc9e14910fb |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.