Triple
T20665141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Lavon Helm |
E507863
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ophelia |
—
|
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: Ophelia | Statement: [Mark Lavon Helm, notableWork, Ophelia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ophelia Context triple: [Mark Lavon Helm, notableWork, Ophelia]
-
A.
Ophelia
Ophelia is a fictional character best known as the tragic, doomed heroine of William Shakespeare’s play "Hamlet."
-
B.
Ophelia
chosen
"Ophelia" is a lively, horn-driven roots rock song by The Band, sung by drummer Levon Helm and featured on their 1975 album *Northern Lights – Southern Cross*.
-
C.
Ophelia
Ophelia is a skilled Russian spy and femme fatale who serves as one of the main antagonists in the comedy film "Johnny English Strikes Again."
-
D.
Ophelia
Ophelia is a 2018 historical drama film that reimagines Shakespeare’s Hamlet from Ophelia’s perspective, starring Daisy Ridley and George MacKay.
-
E.
Ophelia
Ophelia is a famous 1894 Pre-Raphaelite painting by John William Waterhouse depicting the tragic Shakespearean heroine from Hamlet.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c2c6d48190bbfe505cf7d973f9 |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.