Triple
T18876947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Feigenbaum |
E461710
|
entity |
| Predicate | coDeveloperOf |
P6901
|
FINISHED |
| Object | DENDRAL |
—
|
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: DENDRAL | Statement: [Edward Feigenbaum, coDeveloperOf, DENDRAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DENDRAL Context triple: [Edward Feigenbaum, coDeveloperOf, DENDRAL]
-
A.
DENDRAL
chosen
DENDRAL was an early expert system in artificial intelligence designed to infer molecular structures of chemical compounds from mass spectrometry data.
-
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.
Resnik
Resnik is a surname most notably associated with Judith Resnik, the American astronaut who died in the Space Shuttle Challenger disaster.
-
D.
Mulliken
Mulliken is a surname most notably associated with Robert S. Mulliken, the American physicist and chemist who won the Nobel Prize for his work on molecular orbital theory.
-
E.
Beckman
Beckman is a German-origin surname borne by various notable individuals across fields such as science, business, and the arts.
- 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.