Triple
T20592841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sid James |
E505973
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Sidney James |
—
|
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: Sidney James | Statement: [Sid James, alsoKnownAs, Sidney James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidney James Context triple: [Sid James, alsoKnownAs, Sidney James]
-
A.
Sidney James
chosen
Sidney James was a British character actor and comedian best known for his roles in the "Carry On" film series and his distinctive gravelly laugh.
-
B.
Sidney Warren
Sidney Warren was an American attorney best known as one of the former husbands of Hungarian-American socialite and actress Magda Gabor.
-
C.
Sidney Archer
Sidney Archer is the intelligent and resourceful corporate executive protagonist of David Baldacci’s political thriller novel "Total Control."
-
D.
Sidney Wicks
Sidney Wicks is a former American professional basketball player, best known as a four-time NBA All-Star forward in the 1970s, primarily with the Portland Trail Blazers.
-
E.
Sidney Ward
Sidney Ward is a municipal ward within the city of Quinte West in Ontario, Canada, represented on the local city council.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a97d63cc8190853e052d5930470d |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.