Triple
T12464101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elgin Baylor |
E297875
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Elgin |
E141361
|
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: Elgin | Statement: [Elgin Baylor, givenName, Elgin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elgin Context triple: [Elgin Baylor, givenName, Elgin]
-
A.
Elgin
chosen
Elgin is a historic town in Moray, northeast Scotland, known for its medieval cathedral ruins and regional administrative and legal significance.
-
B.
Elgin, Illinois
Elgin, Illinois is a city in the northwest suburbs of Chicago known for its historic architecture, diverse population, and location along the Fox River.
-
C.
Montrose
Montrose is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Northwest Side.
-
D.
Montrose
Montrose is a residential neighborhood within the town of Wakefield in Middlesex County, Massachusetts.
-
E.
Montrose
Montrose is a small town located in Dane County in the state of Wisconsin, United States.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94db5efe88190a76949e4ddc3314c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64ba170908190b7b52ba3e725ea5e |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.