Triple
T9724370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Lindsay |
E235565
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Citizen Smith |
E694410
|
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: Citizen Smith | Statement: [Robert Lindsay, notableWork, Citizen Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Citizen Smith Context triple: [Robert Lindsay, notableWork, Citizen Smith]
-
A.
Citizen Smith
chosen
Citizen Smith is a British television sitcom best known for its portrayal of a would-be revolutionary in late-1970s London.
-
B.
Citizen
Citizen is a 2001 Tamil-language vigilante action film starring Ajith Kumar, known for its multiple-identity protagonist and social justice theme.
-
C.
Mr. Smith
"Mr. Smith" is a 1995 hip hop album by LL Cool J that marked a successful commercial comeback and features hits like "Hey Lover" and "Doin' It."
-
D.
Winston Silver
Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
-
E.
Mr. Nice
Mr. Nice is a 2010 biographical crime film in which Rhys Ifans portrays real-life Welsh drug smuggler Howard Marks.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e77096481908ffd315fecb1d5ec |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19faa064081909c1d23044984a17c |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:21 p.m.