Triple
T3187287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Morse |
E66728
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Morse code |
E320218
|
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: Morse code | Statement: [Samuel Morse, knownFor, Morse code]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morse code Context triple: [Samuel Morse, knownFor, Morse code]
-
A.
Morse code
chosen
Morse code is a system of encoding text characters as sequences of short and long signals (dots and dashes) used historically for long-distance telegraph and radio communication.
-
B.
Morse
Morse is the middle name of Mary Baker Eddy, the founder of Christian Science.
-
C.
Morse
Morse is a surname most famously associated with Samuel Morse, the American inventor and co-developer of the Morse code communication system.
-
D.
Baconian method
The Baconian method is a systematic approach to scientific inquiry that emphasizes empirical observation, experimentation, and inductive reasoning to derive general principles from particular facts.
-
E.
Pitman shorthand
Pitman shorthand is a phonetic writing system developed in the 19th century by Isaac Pitman to enable rapid transcription of spoken English using simplified strokes and symbols.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e279288190843837751e852c9e |
completed | March 8, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b262126fa08190b7dd620159e3ed96 |
completed | March 12, 2026, 6:49 a.m. |
Created at: March 8, 2026, 3:06 p.m.