Triple
T8958905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Wiseman |
E213548
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joseph Wiseman |
E213548
|
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: Joseph Wiseman | Statement: [Joseph Wiseman, name, Joseph Wiseman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Wiseman Context triple: [Joseph Wiseman, name, Joseph Wiseman]
-
A.
Joseph Wiseman
chosen
Joseph Wiseman was a Canadian character actor best known for portraying the titular villain in the first James Bond film, "Dr. No."
-
B.
Arthur Dorman
Arthur Dorman was a British industrialist best known as a co-founder of the major steel and engineering firm Dorman Long and Co Ltd, which played a significant role in bridge building and heavy industry.
-
C.
Douglas Wick
Douglas Wick is an American film producer known for acclaimed movies such as "Gladiator," "Working Girl," and "Memoirs of a Geisha."
-
D.
George Ward
George Ward was a British Conservative politician who served in senior government roles during the mid-20th century, including as Minister of Supply.
-
E.
Gordon Jennings
Gordon Jennings was an American special effects artist renowned for his pioneering visual effects work in mid-20th-century Hollywood science fiction and adventure films.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc672b12b48190a9d964f79b96d237 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd09e378c8190bb9f5d78a3b91fe7 |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7 p.m.