Triple
T23051709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audrey Wells |
E574034
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Audrey |
—
|
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: Audrey | Statement: [Audrey Wells, givenName, Audrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Audrey Context triple: [Audrey Wells, givenName, Audrey]
-
A.
Audrey
Audrey is a simple, rustic shepherdess who serves as a comic character in William Shakespeare’s pastoral comedy "As You Like It."
-
B.
Audrey
Audrey is a kind-hearted, nature-loving girl in the 2012 animated film "The Lorax" whose dream of seeing real trees inspires the protagonist’s quest.
-
C.
Audrey
chosen
Audrey is a feminine given name of Old English origin, traditionally meaning "noble strength" and borne by numerous notable figures in politics, arts, and entertainment.
-
D.
Audrey
Audrey is the sweet but beleaguered love interest and florist’s assistant in the horror-comedy musical "Little Shop of Horrors."
-
E.
Audrey
Audrey is a character connected to the Paradise Falls diner setting, likely serving as a key figure in its story or atmosphere.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867d010c8190bc5dba6758d0b797 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.