Triple
T8480138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith Thompson |
E200493
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Thompson |
E25151
|
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: Thompson | Statement: [Smith Thompson, familyName, Thompson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thompson Context triple: [Smith Thompson, familyName, Thompson]
-
A.
Thompson
chosen
Thompson is a common English-language surname borne by numerous notable individuals across fields such as acting, sports, politics, and science.
-
B.
Thompson
Thompson is a small city in Grand Forks County, North Dakota, known as a rural community within the Greater Grand Forks metropolitan area.
-
C.
Stephen Thompson
Stephen Thompson is an American mixed martial artist and elite kickboxer known for his karate-based striking style and long tenure as a top contender in the UFC.
-
D.
John Douglas Thompson
John Douglas Thompson is an acclaimed British-American actor known for his powerful stage performances in classical theater and notable roles in film and television.
-
E.
Marshall Thompson
Marshall Thompson was an American film and television actor best known for his roles in mid-20th-century Hollywood productions, including war dramas and science fiction films.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5232d008190ae55b982f5fc9e8b |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a22d6e481908bdb0b9cc0df0113 |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:12 p.m.