Triple
T15441415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Wright |
E369909
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pride & Prejudice |
E122897
|
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: Pride & Prejudice | Statement: [Joe Wright, notableWork, Pride & Prejudice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pride & Prejudice Context triple: [Joe Wright, notableWork, Pride & Prejudice]
-
A.
Pride and Prejudice
chosen
Pride and Prejudice is a classic 1813 novel by Jane Austen that satirically explores love, class, and social expectations in early 19th-century England through the story of Elizabeth Bennet and Mr. Darcy.
-
B.
Sense and Sensibility
Sense and Sensibility is a 1995 British period drama film adaptation of Jane Austen’s novel, acclaimed for its screenplay by and starring Emma Thompson.
-
C.
Delights and Prejudices
Delights and Prejudices is a memoir by American chef and food writer James Beard that blends personal reminiscences with reflections on food and culinary culture.
-
D.
EMMA
EMMA is a major Finnish museum in Espoo dedicated to exhibiting and promoting modern and contemporary art.
-
E.
EMMA
EMMA is the Electronic Municipal Market Access system, an online platform that provides free public access to municipal bond disclosure documents, trade data, and related information in the U.S.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef55f5c8190a32b1b6ad1daf454 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cf7ce7c8190810ef35b6e37254d |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:21 a.m.