Triple
T15780859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilbert Roland |
E382609
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The French Line |
E500263
|
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: The French Line | Statement: [Gilbert Roland, notableWork, The French Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The French Line Context triple: [Gilbert Roland, notableWork, The French Line]
-
A.
The French Line
chosen
"The French Line" is a 1953 Technicolor musical comedy film starring Jane Russell, best known for its provocative dance numbers and controversial marketing.
-
B.
French Line
The French Line is a popular but challenging off-road track crossing Australia’s Simpson Desert, known for its long stretches of sand dunes and remote, rugged conditions.
-
C.
Lignes d’Azur
Lignes d’Azur is the public transportation network of Nice and its metropolitan area, operating trams and buses across the region.
-
D.
Riviera
Riviera is a television drama series centered on wealth, crime, and intrigue along the glamorous French Riviera.
-
E.
Grace Line
Grace Line was a prominent American shipping company known for its passenger and cargo services, particularly between the United States and South America in the 20th century.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05400716881909bc43212c8ea54d5 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff909f7f4481909cceb32e26af3780 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.