Triple
T20471895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Riordans |
E502212
|
entity |
| Predicate | hasSpinOff |
P7226
|
FINISHED |
| Object | Bracken |
—
|
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: Bracken | Statement: [The Riordans, hasSpinOff, Bracken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bracken Context triple: [The Riordans, hasSpinOff, Bracken]
-
A.
Bracken
Bracken is a surname of Scottish and Irish origin borne by various notable individuals, including poet and politician Thomas Bracken.
-
B.
Bracken
chosen
Bracken is an Irish television drama series that helped establish actor Gabriel Byrne’s early career.
-
C.
Schildkraut
Schildkraut is a surname most notably associated with Austrian-American actor Joseph Schildkraut, an Academy Award winner known for his work in early 20th-century film and theater.
-
D.
Wallagrass
Wallagrass is a small rural town in Aroostook County, northern Maine, known for its forested landscape and outdoor recreation.
-
E.
Biberwier
Biberwier is a small alpine village and municipality in the Tyrolean Zugspitz Arena of western Austria, known for its mountain scenery and outdoor recreation.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6996197908190b6570e2a7fd6cf67 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.