Triple
T17944769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Moyer |
E448674
|
entity |
| Predicate | televisionSeries |
P3279
|
FINISHED |
| Object | The Grand |
—
|
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 Grand | Statement: [Stephen Moyer, televisionSeries, The Grand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Grand Context triple: [Stephen Moyer, televisionSeries, The Grand]
-
A.
The Grand
The Grand is a historic performing arts theater and cultural landmark located in Macon, Georgia.
-
B.
The Grand
The Grand is a 2007 improvised comedy film that satirizes high-stakes poker tournaments, featuring an ensemble cast including Cheryl Hines, Woody Harrelson, and David Cross.
-
C.
The Grand
chosen
The Grand is a British period drama television series set in a luxury Manchester hotel in the 1920s, exploring the intertwined lives of its wealthy guests and working-class staff.
-
D.
The Falls
The Falls is a novel by Joyce Carol Oates that explores the aftermath of a tragic event at Niagara Falls and its impact on a family over several decades.
-
E.
The Falls
The Falls is a crime novel by Scottish author Ian Rankin, featuring Inspector Rebus investigating a mysterious disappearance in Edinburgh.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad9819a88190ad4ea7d562cf3f28 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.