Triple
T9112261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benny |
E218630
|
entity |
| Predicate | etymologicalRoot |
P453
|
FINISHED |
| Object | Benedict |
E42638
|
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: Benedict | Statement: [Benny, etymologicalRoot, Benedict]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benedict Context triple: [Benny, etymologicalRoot, Benedict]
-
A.
Benedict
chosen
Benedict is a masculine given name of Latin origin, most famously borne in modern times by the British actor Benedict Cumberbatch.
-
B.
Benedetto
Benedetto is the Italian form of the given name Benedict, traditionally associated with blessings and several notable religious and historical figures.
-
C.
Ambrose
Ambrose is the middle name of John Ambrose Fleming, the British electrical engineer and physicist known for inventing the vacuum tube diode.
-
D.
Benedictus
Benedictus is a serene and lyrical movement within Johann Sebastian Bach’s Mass in B minor, often noted for its expressive vocal line and delicate accompaniment.
-
E.
Francis
Francis is the given first name of the English actor Frank Finlay, known for his work in film, television, and theatre.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8495c448190b9bb3803fb2dda70 |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e31b3c048190ab4f9cac9e5e3a8e |
completed | April 4, 2026, 10:08 a.m. |
Created at: March 30, 2026, 7:16 p.m.