Triple
T10405158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Williams |
E245243
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Danny Williams |
E245243
|
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: Danny Williams | Statement: [Danny Williams, name, Danny Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Williams Context triple: [Danny Williams, name, Danny Williams]
-
A.
Danny Williams
chosen
Danny Williams was a British pop singer best known for his 1961 hit rendition of "Moon River."
-
B.
Danny Williams
Danny Williams is the fictional nightclub entertainer and family man portrayed by Danny Thomas on the classic American television sitcom "The Danny Thomas Show."
-
C.
William Kellie Smith
William Kellie Smith was a Scottish planter and businessman in British Malaya, best known for commissioning the unfinished Kellie’s Castle in Perak, Malaysia.
-
D.
Len Williams
Len Williams was a British classical guitar teacher and promoter best known as the father and early mentor of renowned guitarist John Williams.
-
E.
Jeff Williams
Jeff Williams is an American technology executive who serves as Apple's Chief Operating Officer and a key leader in the development and launch of major Apple products.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e78008819088f0ffba78471509 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbe721b48190a4fd0c1d839c580e |
completed | April 9, 2026, 7:20 p.m. |
Created at: April 6, 2026, 12:08 p.m.