Triple
T20997689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Hopes |
E517192
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Andrew Dickson |
—
|
NE NERFINISHED |
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: Andrew Dickson | Statement: [High Hopes, musicBy, Andrew Dickson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Dickson Context triple: [High Hopes, musicBy, Andrew Dickson]
-
A.
Andrew Dickson
chosen
Andrew Dickson is a British composer best known for his film scores, particularly his collaborations with director Mike Leigh.
-
B.
William Dickson
William Dickson was an American politician after whom the city of Dickson, Tennessee, was named.
-
C.
Joseph Henry Gilbert
Joseph Henry Gilbert was a 19th-century English chemist and agricultural scientist renowned for his pioneering long-term field experiments and contributions to soil fertility research at Rothamsted.
-
D.
William Gordon Cooke
William Gordon Cooke was a 19th-century soldier and political figure notable for his service in the Texas Revolution and early Republic of Texas government.
-
E.
Robert Cooke
Robert Cooke is a notable individual distinguished enough to be specifically referenced as a bearer of the surname Cooke.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc22ca6081908bf054ddcfea9e19 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:51 p.m.