Triple
T6159561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Bernthal |
E137405
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | King Richard |
E573508
|
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: King Richard | Statement: [Jon Bernthal, appearedIn, King Richard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Richard Context triple: [Jon Bernthal, appearedIn, King Richard]
-
A.
King Richard
chosen
"King Richard" is a 2021 biographical sports drama film about Richard Williams, the determined father and coach of tennis champions Venus and Serena Williams.
-
B.
Clarence
Clarence is a masculine given name of Latin origin, commonly used in English-speaking countries.
-
C.
Edward
Edward is a masculine given name of English origin, historically associated with kings of England and notable figures such as U.S. Senator Edward M. Kennedy.
-
D.
King Richard the Lionheart
King Richard the Lionheart was a 12th-century King of England renowned for his military leadership during the Third Crusade and celebrated in legend as a chivalrous warrior-king.
-
E.
John King
John King is an artist and notable graduate of Hornsey College of Art, recognized for his contributions to the visual arts.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d3445dc8190822954cee90f0dd7 |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16edb92048190ba47571e28db3cb6 |
completed | March 23, 2026, 4:48 p.m. |
Created at: March 22, 2026, 4:17 p.m.