Triple
T8950837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Edgecombe |
E213341
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | William Wharton |
E748000
|
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: William Wharton | Statement: [Paul Edgecombe, associatedWith, William Wharton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Wharton Context triple: [Paul Edgecombe, associatedWith, William Wharton]
-
A.
William Wharton
chosen
William Wharton is a sadistic, unhinged death row inmate and key antagonist in Stephen King’s novel "The Green Mile."
-
B.
Arthur Aylesworth
Arthur Aylesworth was an American character actor known for his supporting roles in numerous Hollywood films during the 1930s and 1940s.
-
C.
Philip Holbrook
Philip Holbrook is an individual notable enough to be recognized as a prominent bearer of the surname Holbrook.
-
D.
John Wharton
John Wharton is a fictional character known by the nickname "Breacher," typically portrayed as a tough, combat-hardened military or special-operations figure.
-
E.
Arthur Winslow
Arthur Winslow is the principled Edwardian father in Terence Rattigan’s play "The Winslow Boy," who risks his family’s security to clear his son’s name.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670c7244819084978922a9835bc9 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0773aee148190ad4da1b91271e48c |
completed | April 4, 2026, 2:28 a.m. |
Created at: March 30, 2026, 6:59 p.m.