Triple
T22880085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Shaw |
E567437
|
entity |
| Predicate | hasWork |
P6260
|
FINISHED |
| Object | The Flag |
—
|
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 Flag | Statement: [Robert Shaw, hasWork, The Flag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Flag Context triple: [Robert Shaw, hasWork, The Flag]
-
A.
The Flag
chosen
"The Flag" is a lesser-known work associated with British actor Robert Shaw, who is best remembered for his roles in films like "Jaws," "From Russia with Love," and "The Sting."
-
B.
The Big Flag
"The Big Flag" is a French film featuring actress Maria Mauban, known as one of her notable screen roles.
-
C.
Three Flags
Three Flags is a 1958 painting by Jasper Johns featuring three superimposed American flags that became an iconic example of his exploration of everyday symbols in modern art.
-
D.
Follow the Flag
Follow the Flag was the well-known promotional slogan and motto of the Wabash Railroad, symbolizing its brand identity and service.
-
E.
Flagg
Flagg is a surname most notably associated with American artist and illustrator James Montgomery Flagg, famed for creating the iconic "I Want YOU for U.S. Army" Uncle Sam poster.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5b1ea481909a31a8ed6792ad04 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:39 p.m.