Triple
T12624013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadway Melody |
E301462
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Charles King |
E407981
|
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: Charles King | Statement: [Broadway Melody, starring, Charles King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles King Context triple: [Broadway Melody, starring, Charles King]
-
A.
Charles King
Charles King was an American academic and politician who served as the ninth president of Columbia College (now Columbia University) in the mid-19th century.
-
B.
Charles King
Charles King is a film editor known for his work on major Hollywood productions, including Star Wars: Episode III – Revenge of the Sith.
-
C.
Charles King
chosen
Charles King was an American actor active in early 20th-century film and theater, known for his roles in numerous silent and early sound movies.
-
D.
Cyril Emmanuel King
Cyril Emmanuel King was a prominent U.S. Virgin Islands politician who served as the territory’s second elected governor in the 1970s.
-
E.
John King
John King was an American statesman who represented South Carolina as a delegate in the Continental Congress during the Revolutionary era.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610a897c8190a96f3c78d4b270a2 |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed8d81c8190baed4292ce3a74a1 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:14 p.m.