Triple
T16100492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Loose |
E390604
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | William Loose |
E390604
|
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 Loose | Statement: [William Loose, name, William Loose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Loose Context triple: [William Loose, name, William Loose]
-
A.
William Loose
chosen
William Loose was an American composer and arranger best known for his prolific work on film and television scores, particularly in mid-20th-century Hollywood.
-
B.
William Gillespie
William Gillespie was a Scottish-born character actor of the silent and early sound film era, known for his supporting roles in numerous comedies, including those produced by Hal Roach.
-
C.
Peter Paul Marshall
Peter Paul Marshall was a 19th-century British painter and civil engineer best known as one of the founding partners of the Arts and Crafts firm Morris, Marshall, Faulkner & Co.
-
D.
Bill Brennan
Bill Brennan was an early 20th-century American baseball umpire who worked in both the major leagues and prominent postseason series.
-
E.
Jeff Buchanan
Jeff Buchanan is a professional editor, likely working in publishing or media, known for collaborating on written content such as articles or manuscripts.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6756948190a7f5ecb375e59701 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff29f9f2881909b96860ee23d8ada |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.