Triple
T16783780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Grey |
E407918
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | John Beckwith |
E365680
|
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: John Beckwith | Statement: [Jeremy Grey, worksWith, John Beckwith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Beckwith Context triple: [Jeremy Grey, worksWith, John Beckwith]
-
A.
John Beckwith
chosen
John Beckwith is the charming, fast-talking divorce mediator and wedding crasher portrayed by Owen Wilson in the comedy film "Wedding Crashers."
-
B.
Charles Bebb
Charles Bebb was a prominent early 20th-century American architect based in Seattle, known for helping shape the city's skyline through major commercial and landmark buildings.
-
C.
Samuel Beck
Samuel Beck is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Beck.
-
D.
Charles Alvin Beckwith
Charles Alvin Beckwith was a highly decorated U.S. Army Special Forces officer best known for creating and leading the elite counterterrorism unit Delta Force.
-
E.
John Sewell
John Sewell is a former English footballer and manager best known for his involvement in North American soccer, including coaching in the NASL.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b218d31881908d896e688ebd171c |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b287a96c8190a16d7c76d05be106 |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 5:22 a.m.