Triple
T17910747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deedee Magno Hall |
E447811
|
entity |
| Predicate | voiceRole |
P12691
|
FINISHED |
| Object | Pearl |
—
|
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: Pearl | Statement: [Deedee Magno Hall, voiceRole, Pearl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pearl Context triple: [Deedee Magno Hall, voiceRole, Pearl]
-
A.
Pearl
"Pearl" is a Middle English alliterative poem, often attributed to the anonymous "Pearl Poet," renowned for its intricate structure and spiritual meditation on loss and salvation.
-
B.
Pearl
"Pearl" is a lesser-known work by screenwriter Stirling Silliphant, likely a film or television script reflecting his characteristic dramatic storytelling.
-
C.
Pearl
Pearl is a supporting character in the BET sitcom "Zoe Ever After," which follows a newly single mother navigating life and career after divorce.
-
D.
Pearl
Pearl is the nickname of Dwayne "Pearl" Washington, a celebrated American basketball player known for his flashy ball-handling and standout college career at Syracuse University.
-
E.
Pearl
chosen
Pearl is the anthropomorphized first-class observation coach and one of the main train characters in Andrew Lloyd Webber’s musical "Starlight Express."
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea017d081908be850a39edf601f |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.