Triple
T20425988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagg |
E501001
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Nell |
—
|
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: Nell | Statement: [Nagg, spouse, Nell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nell Context triple: [Nagg, spouse, Nell]
-
A.
Nell
chosen
Nell is a feminine given name, often used as a diminutive of names like Eleanor or Helen.
-
B.
Nell
Nell is a 1994 American drama film starring Jodie Foster as a reclusive young woman raised in isolation, known for its exploration of language, communication, and societal integration.
-
C.
Nell
Nell is a central character in Kate Morton's novel "The Forgotten Garden," whose mysterious past and abandoned-childhood origins drive the book's multigenerational family saga.
-
D.
Nell
Nell is the central protagonist of the 2021 dark comedy-drama film "Silent Night," around whom the story’s apocalyptic Christmas gathering unfolds.
-
E.
Nell
Nell is the young female protagonist of Neal Stephenson’s science fiction novel "The Diamond Age," whose coming-of-age is shaped by an interactive, highly advanced book.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba86ed88190bf2d4448d2abcdc7 |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:30 a.m.