Triple
T21543260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brent |
E531547
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | James Franciscus |
—
|
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: James Franciscus | Statement: [Brent, portrayedBy, James Franciscus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Franciscus Context triple: [Brent, portrayedBy, James Franciscus]
-
A.
James Franciscus
chosen
James Franciscus was an American actor best known for his leading roles in 1960s and 1970s film and television, including the series "Mr. Novak" and "Longstreet."
-
B.
James Francies
James Francies is an American jazz pianist, composer, and producer known for his innovative blend of jazz, hip-hop, and R&B influences.
-
C.
Francis Dhanis
Francis Dhanis was a Belgian colonial officer best known for leading military campaigns in the Congo Free State, including key operations during the Congo Arab War.
-
D.
James Rosier
James Rosier was an English explorer and chronicler best known for documenting early 17th-century voyages to the New England coast of North America.
-
E.
James Fazy
James Fazy was a 19th-century Swiss politician and radical liberal reformer who played a key role in shaping the modern canton of Geneva.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58d66ec8190b654a46932c841d3 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.