Triple
T7288174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patriot Games |
E163926
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | William Hoy |
E268420
|
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 Hoy | Statement: [Patriot Games, editor, William Hoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Hoy Context triple: [Patriot Games, editor, William Hoy]
-
A.
William Hoy
chosen
William Hoy is a film editor known for his work on major Hollywood productions, particularly in the science fiction and action genres.
-
B.
John Holbrook
John Holbrook is an Anglican bishop who has served as the Bishop of Brixworth in the Church of England.
-
C.
Thomas Pratt
Thomas Pratt was an American film editor known for his work on numerous Hollywood productions during the mid-20th century.
-
D.
William M. Brown
William M. Brown was an individual notable enough to be specifically commemorated with a marked grave in Hackensack Cemetery in New Jersey.
-
E.
Hinton Blewett
Hinton Blewett is a small rural village in Somerset, England, known for its historic church and scenic setting within the Chew Valley countryside.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6a73fc8190ae5ce81fd3e46d87 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9061709f48190a9e198dac225aed4 |
completed | March 29, 2026, 10:59 a.m. |
Created at: March 27, 2026, 2:59 p.m.