Triple
T18083882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Summer Long |
E432777
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Edward King |
—
|
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: Edward King | Statement: [All Summer Long, author, Edward King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward King Context triple: [All Summer Long, author, Edward King]
-
A.
Edward King
chosen
Edward King is a writer best known for authoring the work associated with the title "All Summer Long."
-
B.
Julian King
Julian King was the young nephew of singer and actress Jennifer Hudson whose tragic 2008 murder drew widespread media attention.
-
C.
James King
James King was a member of the King family of Omaha, Nebraska, best known as the sibling of Leslie Lynch King Sr., the biological father of U.S. President Gerald Ford.
-
D.
James King
James King was an 18th-century British naval officer and explorer who helped complete and edit the published account of Captain James Cook’s final Pacific voyage.
-
E.
James King
James King is the wealthy, naive investment banker portrayed by Will Ferrell in the comedy film "Get Hard," who must prepare for an impending prison sentence with the help of his car washer.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fcdbec819085752e7605ae7772 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.