Triple
T16785837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Lee Wong |
E407970
|
entity |
| Predicate | notablePortrayalBy |
P20085
|
FINISHED |
| Object | Boris Karloff |
E218089
|
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: Boris Karloff | Statement: [James Lee Wong, notablePortrayalBy, Boris Karloff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boris Karloff Context triple: [James Lee Wong, notablePortrayalBy, Boris Karloff]
-
A.
Boris Karloff
chosen
Boris Karloff was an English actor best known for his iconic portrayals in classic horror films, particularly as Frankenstein's monster in the 1931 film "Frankenstein."
-
B.
Bela Lugosi
Bela Lugosi was a Hungarian-American actor best known for his iconic portrayal of Count Dracula in early horror cinema.
-
C.
Chris Karloff
Chris Karloff is an English musician and songwriter best known as a founding guitarist and key early songwriter of the rock band Kasabian.
-
D.
Vincent Price
Vincent Price was an American actor renowned for his distinctive voice and charismatic presence, particularly in classic horror films and gothic dramas.
-
E.
Vincent E. Price
Vincent E. Price is an American political communication scholar and academic leader who serves as the president of Duke University.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21a52ac8190b4374aa0fc45683a |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c79a96408190ab01ccd144f3fade |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 5:22 a.m.