Triple
T13260306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hokan (proposed) |
E315773
|
entity |
| Predicate | studiedBy |
P1945
|
FINISHED |
| Object | Lyle Campbell |
E191322
|
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: Lyle Campbell | Statement: [Hokan (proposed), studiedBy, Lyle Campbell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyle Campbell Context triple: [Hokan (proposed), studiedBy, Lyle Campbell]
-
A.
Lyle Campbell
chosen
Lyle Campbell is an American linguist renowned for his work in historical linguistics and the documentation and classification of indigenous languages of the Americas.
-
B.
Lyle Hill
Lyle Hill is a prominent viewpoint in Greenock, Scotland, known for its panoramic views over the River Clyde and surrounding landscapes.
-
C.
Lyle Anderson
Lyle Anderson is a fictional character appearing in the "Kingdom" series.
-
D.
Lyle Vincent
Lyle Vincent is a cinematographer known for his distinctive visual work on independent and genre films, including collaborations on projects like "Cooties."
-
E.
Lyle Wynant
Lyle Wynant is a central character in Don DeLillo’s novel "Players," around whom much of the book’s exploration of urban alienation and modern disconnection revolves.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f778088819082b8a596c04bfe02 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f1a305081908bd2be2f5276c91f |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:25 p.m.