Triple
T12775574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Greenleaf Webster |
E305360
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rebecca |
E3910
|
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: Rebecca | Statement: [Rebecca Greenleaf Webster, givenName, Rebecca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebecca Context triple: [Rebecca Greenleaf Webster, givenName, Rebecca]
-
A.
Rebecca
chosen
Rebecca is a feminine given name of Hebrew origin meaning “to tie” or “to bind,” widely used in English-speaking countries.
-
B.
Rebecca
Rebecca is a courageous and compassionate Jewish healer in Sir Walter Scott's novel "Ivanhoe," renowned for her integrity and tragic, unrequited love.
-
C.
Rebecca
Rebecca is a prominent biblical matriarch, known as the wife of Isaac and the mother of Esau and Jacob in the Hebrew Bible.
-
D.
Rebecca
Rebecca is a fictional character appearing in the British television drama series "Ashes to Ashes."
-
E.
Rebecca
Rebecca is a character from the horror film "The Descent," one of the women who join a dangerous caving expedition that turns terrifying underground.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df6b3c88190b0bbe70de8ddcbf3 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684fee60c81909245d4d70c9338c0 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:29 p.m.