Triple
T28136548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver Twist (1948 film) |
E714220
|
entity |
| Predicate | characterPortrayedByAnthonyNewley |
P186363
|
FINISHED |
| Object | the Artful Dodger |
—
|
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: the Artful Dodger | Statement: [Oliver Twist (1948 film), characterPortrayedByAnthonyNewley, the Artful Dodger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPortrayedByAnthonyNewley Context triple: [Oliver Twist (1948 film), characterPortrayedByAnthonyNewley, the Artful Dodger]
-
A.
characterPortrayedByRuthGordon
Indicates that a given character is portrayed or played by the actress Ruth Gordon.
-
B.
notableWestEndPortrayalBy
Indicates that a person is recognized for a significant or distinguished acting role in London’s West End associated with the subject.
-
C.
originalWestEndLeadCharacter
Indicates that a person was the first actor to play a specific lead character in the original West End production of a show.
-
D.
characterPortrayedByRobertNewton
Indicates that a character is portrayed or played by the actor Robert Newton.
-
E.
characterPlayedByRichardHarris
Indicates that the subject is a character that was portrayed by the actor Richard Harris.
- F. None of above. chosen
Provenance (4 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7cec398ac819081c954a993c323ee |
completed | May 3, 2026, 10:40 p.m. |
Created at: April 27, 2026, 9:50 p.m.