Triple
T9749781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outram |
E236410
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Benjamin Outram |
E460169
|
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 Outram | Statement: [Outram, hasNotableBearer, Benjamin Outram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benjamin Outram Context triple: [Outram, hasNotableBearer, Benjamin Outram]
-
A.
Benjamin Outram
chosen
Benjamin Outram was a prominent late-18th-century English civil engineer and industrialist known for his pioneering work on canals and early railways.
-
B.
William Orlamond
William Orlamond was a Danish-born American character actor of the silent film era who appeared in numerous Hollywood productions in the 1910s and 1920s.
-
C.
Nathaniel Hutton
Nathaniel Hutton was an American shipbuilder known for constructing the early U.S. Navy frigate USS Philadelphia.
-
D.
Edward Blount
Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
-
E.
Oliver Heywood
Oliver Heywood was a prominent 19th-century Manchester banker and philanthropist known for his extensive charitable work and support of education and public institutions in the city.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f6a2f8c8190a6f6af6587ee90b8 |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b01678f88190900a941b9d111c58 |
completed | April 5, 2026, 12:43 a.m. |
Created at: March 30, 2026, 8:24 p.m.