Triple
T18815513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pearl of the Adriatic |
E460124
|
entity |
| Predicate | hasWord |
P35
|
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: [Pearl of the Adriatic, hasWord, Pearl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pearl Context triple: [Pearl of the Adriatic, hasWord, Pearl]
-
A.
Pearl
chosen
"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 the enigmatic and spirited daughter of Hester Prynne in Nathaniel Hawthorne’s novel *The Scarlet Letter*, symbolizing both sin and redemption.
-
C.
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.
-
D.
Pearl
Pearl is a British actress best known for playing Bill Potts, a companion of the Doctor, in the long-running television series "Doctor Who."
-
E.
Pearl
"Pearl" is a lesser-known work by screenwriter Stirling Silliphant, likely a film or television script reflecting his characteristic dramatic storytelling.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3e092e081908fc310c70f646e79 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.