Triple
T5022698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Evans |
E112893
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Evans |
unclear NED1
|
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 Evans | Statement: [John Evans, name, John Evans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Evans Context triple: [John Evans, name, John Evans]
-
A.
John Evans
John Evans is a mountaineer best known as one of the first climbers to reach the summit of Vinson Massif, the highest peak in Antarctica.
-
B.
John Evans
John Evans was a 19th-century American physician, politician, and railroad developer who served as governor of the Colorado Territory and played a key role in the founding of Northwestern University.
-
C.
Ian Megibben
Ian Megibben is a cinematographer best known for his work on the animated film "Finding Dory."
-
D.
John McGowan
John McGowan was a writer whose work served as the basis for the 1943 musical film "Girl Crazy."
-
E.
John Sullivan
John Sullivan was an American general and political leader who played a prominent role in the Continental Army during the American Revolutionary War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73670578819099a56112950708a8 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9282e2b08190abfa2c3e450957d4 |
completed | March 21, 2026, 12:43 p.m. |
Created at: March 20, 2026, 1:36 p.m.