Triple
T677290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Darlington |
E13105
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sidney |
E41612
|
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: Sidney | Statement: [Sidney Darlington, givenName, Sidney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidney Context triple: [Sidney Darlington, givenName, Sidney]
-
A.
Sidney
chosen
Sidney is the given name of Sidney Godolphin, 1st Earl of Godolphin, a prominent English statesman and Lord High Treasurer under Queen Anne.
-
B.
Milton
Milton is a small village or locality within the town of Litchfield in northwestern Connecticut, known for its rural New England character.
-
C.
Milton
Milton is a suburban town in eastern Massachusetts, United States, located just south of Boston.
-
D.
Salisbury
Salisbury is the former colonial-era name of Zimbabwe’s capital city, now known as Harare.
-
E.
Gravesend
Gravesend is a historic riverside town on the south bank of the River Thames in north-west Kent, England.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04c89148190b6330e86697bb37b |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a518d6481909500c2941c579153 |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:36 p.m.