Triple
T10468405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Wonderful |
E246862
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Norman Jewison |
E9751
|
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: Norman Jewison | Statement: [Mr. Wonderful, screenwriter, Norman Jewison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Jewison Context triple: [Mr. Wonderful, screenwriter, Norman Jewison]
-
A.
Norman Jewison
chosen
Norman Jewison was a Canadian film director and producer best known for acclaimed movies such as "In the Heat of the Night," "Fiddler on the Roof," and "Moonstruck."
-
B.
Arthur Hiller
Arthur Hiller was a Canadian-born film director best known for popular Hollywood movies such as "Love Story" and "The In-Laws."
-
C.
Sidney Lumet
Sidney Lumet was an acclaimed American film director known for socially conscious, character-driven dramas such as "12 Angry Men," "Serpico," and "Dog Day Afternoon."
-
D.
Jonathan Mostow
Jonathan Mostow is an American film director best known for helming the science fiction action sequel "Terminator 3: Rise of the Machines."
-
E.
Hugh Hudson
Hugh Hudson was a British film director best known for his Academy Award–winning 1981 sports drama "Chariots of Fire."
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092ef810819093a4d1df83aeac09 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933b40ff8819097e994a496228b7d |
completed | April 10, 2026, 5:30 p.m. |
Created at: April 6, 2026, 12:20 p.m.