Triple
T7658367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobbi Morse |
E173441
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Morse |
E334941
|
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 | Statement: [Bobbi Morse, familyName, Morse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morse Context triple: [Bobbi Morse, familyName, Morse]
-
A.
Morse
Morse is the middle name of Mary Baker Eddy, the founder of Christian Science.
-
B.
Morse
chosen
Morse is a surname most famously associated with Samuel Morse, the American inventor and co-developer of the Morse code communication system.
-
C.
Morse code
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.
-
D.
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.
-
E.
Morrisen
Morrisen is an alternative spelling or variant form of the surname Morrison.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7019161548190855a5b1e9f5d7e99 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b0d345081909a1d4475fa3876f5 |
completed | March 29, 2026, 3:22 a.m. |
Created at: March 27, 2026, 3:59 p.m.