Triple
T2583171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benedict Arnold III |
E57138
|
entity |
| Predicate | givenName |
P17
|
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: [Benedict Arnold III, givenName, Benedict]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benedict Context triple: [Benedict Arnold III, givenName, 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.
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.
-
D.
Francis
Francis is the middle name of Victoria Lawford, a member of the extended Kennedy family.
-
E.
Francis
Francis is the tough yet sensitive ladybug character from Pixar's animated film "A Bug's Life."
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c9d0548190b29743ac1d7837ff |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af657f39dc8190971e0ad7a5396257 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:49 p.m.