Triple
T10956645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | October Road |
E258861
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Benjamin |
E342186
|
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: Benjamin | Statement: [October Road, hasTrack, Benjamin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benjamin Context triple: [October Road, hasTrack, Benjamin]
-
A.
Benjamin
Benjamin is the given name of the 20th-century Lithuanian-born American artist and social realist Ben Shahn.
-
B.
Benjamin
chosen
Benjamin is a masculine given name of Hebrew origin meaning "son of the right hand" or "favored son," widely used in many cultures and languages.
-
C.
Benjamin
Benjamin is a surname of Hebrew origin commonly used in many cultures and languages.
-
D.
Benjamin
Benjamin is the given name of Benjamin Clémentine, the English artist known for his work as a singer, songwriter, and poet.
-
E.
Benjamin
"Benjamin" is a British comedy-drama film starring Joel Fry, known for its introspective and offbeat portrayal of a young filmmaker navigating love and self-doubt.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771260e9881909401a7a7466e1b8a |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c72196c8190b2336a130b64ab8e |
completed | April 17, 2026, 1:58 p.m. |
Created at: April 8, 2026, 9:23 p.m.